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Yanan Wang

Alumni

Publications

Deep learning segmentation with curvature consistency reveals astrocyte nanostructure across species
Albert Hiu Ka Fok
Timothy L. H. Wong
Chris K. Salmon
Tomos Salathiel
William Grondin-Eddy
Lanxin Fan
Keith K. Murai
Cellular function depends on the precise deployment and distribution of nanoscale structures, but these features remain difficult to measure… (see more) and compare between cells and datasets. This challenge is pronounced for astrocytes, whose intricate nanostructures interface with neurons, glia, and vasculature, to control brain development, synaptic development/plasticity, homeostasis, and responses to injury/disease. Here, we developed deep learning approaches with curvature consistency for automated astrocyte segmentation across volume electron microscopy datasets, reducing reconstruction time from manual or semi-automatic methods by 12-fold and enabling brain region and cross-species interrogation of astrocytic nanoarchitecture. This allowed us to uncover organizing principles and motifs alongside ultrastructural divergence between species. While both species exhibit a wide but shallow topological network, marmoset astrocytes display increased process thickness and branching. We further identified extrasynaptic neuronal engulfment and a robust astrocytic endosomal system across species and brain regions. Together, our findings demonstrate previously inaccessible structural principles of astrocytes, offering a framework for understanding structure-function relationships in the central nervous system.
Ultrastructure Analysis of Cardiomyocytes and Their Nuclei
Tabish A Syed
Drisya Dileep
Minhajuddin Sirajuddin
Organizing principles of astrocytic nanoarchitecture in the mouse cerebral cortex
Christopher K. Salmon
Tabish A. Syed
J. Benjamin Kacerovsky
Nensi Alivodej
Alexandra L. Schober
Tyler F.W. Sloan
Michael T. Pratte
Michael P. Rosen
Miranda Green
Adario Chirgwin-Dasgupta
Hojatollah Vali
Craig A. Mandato
Keith K. Murai
Using high-resolution serial electron microscopy datasets and computer vision, this study provides a systematic analysis of astrocytic nanoa… (see more)rchitecture from multiple samples of layer 2/3 of adult mouse neocortex, and presents quantitative evidence that astrocytes organize their morphology into purposeful, classifiable assemblies with unique structural and subcellular organelle adaptations related to their physiological functions.