4x volumetric mouse brain data

Investigator
Dong, Hongwei
Center for Integrative Connectomics
University of California, Los Angeles
Funding
1-U01-MH114829-01

Experiment
Modality: connectivity
Method: retrograde transsynaptic tracing
Technique: light sheet microscopy
Structure: Whole Brain
Organism: mouse
TransLine: MORF3
Cells: 1

BIL: /bil/data/8c/13/8c13b57a7ae01f75/20211020_11_21_05_SM210705_02_4x_2000z/
HTTPS: https://download.brainimagelibrary.org/8c/13/8c13b57a7ae01f75/20211020_11_21_05_SM210705_02_4x_2000z/

4x volumetric mouse brain data

Investigator
Dong, Hongwei
Center for Integrative Connectomics
University of California, Los Angeles
Funding
1-U01-MH114829-01

Experiment
Modality: connectivity
Method: retrograde transsynaptic tracing
Technique: light sheet microscopy
Structure: Whole Brain
Organism: mouse
TransLine: C57Bl6
Cells: 1

BIL: /bil/data/8c/13/8c13b57a7ae01f75/20211001_09_50_54_SW210318_07_LS_4X_2000z/
HTTPS: https://download.brainimagelibrary.org/8c/13/8c13b57a7ae01f75/20211001_09_50_54_SW210318_07_LS_4X_2000z/

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Background2 Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0420/LSFM/Background2
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0420/LSFM/Background2

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: Vasoactive_intestinal_peptide-Cre-Ai14C
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0430/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0430/LSFM/Background

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0534/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0534/LSFM/Background

Level 1 -- Raw Split Channel TIFF Images

Investigator
Hongwei Dong
Center for Integrative Connectomics
University of California, Los Angeles
Funding
1-U01-MH114829-01

Experiment
Modality: connectivity
Method: retrograde transsynaptic tracing
Technique: light sheet microscopy
Structure: Whole Brain
Organism: mouse
TransLine: C57Bl6
Cells: 1

BIL: /bil/data/ba/ab/baababe50d01eafe/20220315_SW220203_03_LS_6x_1000z
HTTPS: https://download.brainimagelibrary.org/ba/ab/baababe50d01eafe/20220315_SW220203_03_LS_6x_1000z

Level 1 -- Raw Split Channel TIFF Images

Investigator
Hongwei Dong
Center for Integrative Connectomics
University of California, Los Angeles
Funding
1-U01-MH114829-01

Experiment
Modality: connectivity
Method: retrograde transsynaptic tracing
Technique: light sheet microscopy
Structure: Whole Brain
Organism: mouse
TransLine: C57Bl6
Cells: 1

BIL: /bil/data/ba/ab/baababe50d01eafe/20211103_SM211008_02_LS_4X_2000z
HTTPS: https://download.brainimagelibrary.org/ba/ab/baababe50d01eafe/20211103_SM211008_02_LS_4X_2000z

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Platelet Derived Growth Factor B Fluorescent protein antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0534/LSFM/Platelet_Derived_Growth_Factor_B
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0534/LSFM/Platelet_Derived_Growth_Factor_B

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Vasoactive intestinal peptide RFP amplification antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: Vasoactive_intestinal_peptide-Cre-Ai14C
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0432/LSFM/Vasoactive_intestinal_peptide
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0432/LSFM/Vasoactive_intestinal_peptide

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2021Q4 includes a variety of LSFM data from ages E11.5 and E13.5, MRI datasets from ages P4 and E15.5, and STPT datasets from P4, P14, and P56.

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: histology imaging
Method: Background - Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/0d/89/0d89ff2f52ee3323/E13-5_BB0459/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/0d/89/0d89ff2f52ee3323/E13-5_BB0459/LSFM/Background

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2021Q4 includes a variety of LSFM data from ages E11.5 and E13.5, MRI datasets from ages P4 and E15.5, and STPT datasets from P4, P14, and P56.

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: histology imaging
Method: Neurotrace Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/0d/89/0d89ff2f52ee3323/E13-5_BB0456/LSFM/Neurotrace
HTTPS: https://download.brainimagelibrary.org/0d/89/0d89ff2f52ee3323/E13-5_BB0456/LSFM/Neurotrace

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Pericyte Fluorescent protein antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Pericyte
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Pericyte

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Lectin Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Lectin
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Lectin

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Background

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: Vasoactive_intestinal_peptide-Cre-Ai14C
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0476/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0476/LSFM/Background

Level 1 -- Whole-brain confocal microscopy images

Investigator
Hongwei Dong
Center for Integrative Connectomics
University of California, Los Angeles
Funding
1-U01-MH114829-01

Experiment
Modality: connectivity
Method: retrograde transsynaptic tracing
Technique: light sheet microscopy
Structure: Whole Brain
Organism: mouse
TransLine: C57Bl6
Cells: 1

BIL: /bil/data/44/f4/44f4f1ecf7df9af8
HTTPS: https://download.brainimagelibrary.org/44/f4/44f4f1ecf7df9af8

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Lectin Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0532/LSFM/Lectin
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0532/LSFM/Lectin

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Neurotrace Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0420/LSFM/Neurotrace
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0420/LSFM/Neurotrace

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Background3 Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: Vasoactive_intestinal_peptide-Cre-Ai14C
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0430/LSFM/Background3
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0430/LSFM/Background3

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2021Q4 includes a variety of LSFM data from ages E11.5 and E13.5, MRI datasets from ages P4 and E15.5, and STPT datasets from P4, P14, and P56.

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: histology imaging
Method: Neurotrace Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/0d/89/0d89ff2f52ee3323/E13-5_BB0138/LSFM/Neurotrace
HTTPS: https://download.brainimagelibrary.org/0d/89/0d89ff2f52ee3323/E13-5_BB0138/LSFM/Neurotrace

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Neurotrace Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Neurotrace
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Neurotrace

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Neurofilament Fluorescent protein antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Neurofilament
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Neurofilament

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Background

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2021Q4 includes a variety of LSFM data from ages E11.5 and E13.5, MRI datasets from ages P4 and E15.5, and STPT datasets from P4, P14, and P56.

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: histology imaging
Method: Background - Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/0d/89/0d89ff2f52ee3323/E13-5_BB0452/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/0d/89/0d89ff2f52ee3323/E13-5_BB0452/LSFM/Background

Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2021Q4 includes a variety of LSFM data from ages E11.5 and E13.5, MRI datasets from ages P4 and E15.5, and STPT datasets from P4, P14, and P56.

Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01

Experiment
Modality: histology imaging
Method: Syto16 Fluorescent protein antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0

BIL: /bil/data/0d/89/0d89ff2f52ee3323/E13-5_BB0138/LSFM/Syto16
HTTPS: https://download.brainimagelibrary.org/0d/89/0d89ff2f52ee3323/E13-5_BB0138/LSFM/Syto16