Lmst

#2pImaging

There‘s now a #PyTorch version of #Cascade 👌, the #spike inference pipeline for #Calcium #imaging, as @ptrrupprecht just explained on his blog:

🌍 https://gcamp6f.com/2026/02/17/cascadetorch-a-pytorch-version-of-cascade-for-spike-inference/
🧑‍💻 https://github.com/PTRRupprecht/CascadeTorch
📄 https://www.nature.com/articles/s41593-021-00895-5

#CascadeTorch #DeepLearning #CompNeuro #Neuroscience #2pImaging #2p #opensource

Awesome! #Suite2p by @computingnature et al. has been pushed to version 1.0 👏 It now supports GPU computation:

📄 https://www.biorxiv.org/content/10.64898/2026.02.04.703741v1
🧑‍💻 https://github.com/MouseLand/suite2p

#Neuroscience #Imaging #2p #2pImaging

Figure 1: Suite2p pipeline. a, Example volume imaging data. b, X/Y motion correction (left: before, right: after). c, ROI detection (left)
and trace extraction with neuropil extraction based on surrounding pixels (right). d, Classification of ROIs into somatic and non-somatic (i.e.
dendrites and other neuropil). e, The graphical user interface (GUI) can be used for manual curation and results visualization. f, Multi-plane
recording of over 100,000 neurons using a standard Thorlabs Bergamo2 scope (see Methods for exact configuration). Somatic ROIs for example plane shown in different colors. g, Neural activity raster from recording in f, with neurons sorted by Rastermap, colored by the corridor
that the mouse is in [28].

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