A versatile toolbox for the comprehensive analysis of nervous tissue organization with light microscopy
Material type:
TextPublication details: Institute of Science and Technology 2023Online resources: | Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
Book
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Library | Quiet Room (Browse shelf(Opens below)) | Available | AT-ISTA#002835 |
Thesis
Abstract
About the author
Acknowledgments
List of publications
Table of Contents
List of abbreviations
List of figures
List of tables
1 Introduction
2 Method development: Comprehensive analysis of nervous tissue across scales
3 Studying the hippocampal circuitry with CATS
4 Outlook
5 Bibliography
6 Appendix
The brain is an exceptionally sophisticated organ consisting of billions of cells and trillions of connections that orchestrate our cognition and behavior. To decode its complex connectivity, it is pivotal to disentangle its intricate architecture spanning from cm-sized circuits down to tens of nm-small synapses. To achieve this goal, I developed CATS – Comprehensive Analysis of nervous Tissue across Scales, a versatile toolbox for obtaining a holistic view of nervous tissue context with (superresolution) fluorescence microscopy. CATS combines comprehensive labeling of the extracellular space, that is compatible with chemical fixation, with information on molecular markers, superresolved data acquisition and machine-learning based data analysis for segmentation and synapse identification. I used CATS to analyze key features of nervous tissue connectivity, ranging from whole tissue architecture, neuronal in- and output-fields, down to synapse morphology. Focusing on the hippocampal circuitry, I quantified synaptic transmission properties of mossy fiber boutons and analyzed the connectivity pattern of dentate gyrus granule cells with CA3 pyramidal neurons. This shows that CATS is a viable tool to study hallmarks of neuronal connectivity with light microscopy.