AUTHOR=Minge Daniel , Domingos Cátia , Unichenko Petr , Behringer Charlotte , Pauletti Alberto , Anders Stefanie , Herde Michel K. , Delekate Andrea , Gulakova Polina , Schoch Susanne , Petzold Gabor C. , Henneberger Christian TITLE=Heterogeneity and Development of Fine Astrocyte Morphology Captured by Diffraction-Limited Microscopy JOURNAL=Frontiers in Cellular Neuroscience VOLUME=15 YEAR=2021 URL=https://www.frontiersin.org/journals/cellular-neuroscience/articles/10.3389/fncel.2021.669280 DOI=10.3389/fncel.2021.669280 ISSN=1662-5102 ABSTRACT=

The fine processes of single astrocytes can contact many thousands of synapses whose function they can modulate through bi-directional signaling. The spatial arrangement of astrocytic processes and neuronal structures is relevant for such interactions and for the support of neuronal signaling by astrocytes. At the same time, the geometry of perisynaptic astrocyte processes is variable and dynamically regulated. Studying these fine astrocyte processes represents a technical challenge, because many of them cannot be fully resolved by diffraction-limited microscopy. Therefore, we have established two indirect parameters of astrocyte morphology, which, while not fully resolving local geometry by design, provide statistical measures of astrocyte morphology: the fraction of tissue volume that astrocytes occupy and the density of resolvable astrocytic processes. Both are straightforward to obtain using widely available microscopy techniques. We here present the approach and demonstrate its robustness across various experimental conditions using mainly two-photon excitation fluorescence microscopy in acute slices and in vivo as well as modeling. Using these indirect measures allowed us to analyze the morphology of relatively large populations of astrocytes. Doing so we captured the heterogeneity of astrocytes within and between the layers of the hippocampal CA1 region and the developmental profile of astrocyte morphology. This demonstrates that volume fraction (VF) and segment density are useful parameters for describing the structure of astrocytes. They are also suitable for online monitoring of astrocyte morphology with widely available microscopy techniques.