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Topic: SpyDen

ePoster
1 ePoster

In Neuroscience

SpyDen: An open-source Python toolbox for automated molecular analysis in dendrites and spines

Maximilian Eggl, Wagle Surbhit, Jean Philip Filling, Thomas Chater, Yukiko Goda, Tatjana Tchumatchenko · FENS Forum 2024

Quantifying the number and strength of synapses, and how these change over time is critical to understanding neuronal activity and plasticity. The dynamics of dendritic spines and the molecular composition of dendrites is strongly dependent on image analysis that can detect the position and quantity of labelled proteins and mRNAs of interest. Usually, light microscopy images are analyzed manually and involves switching between multiple software packages to locate spines, track dendrites, or identify mRNA puncta for each process step. State-of-the-art automated tools, while powerful, can often

ePoster · Neuroscience