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Fabrizio Musacchio
Fabrizio Musacchio
@FabMusacchio@mastodon.social  ·  activity timestamp last week

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

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Cascade is a deep learning-based method for inferring neuronal spike rates from calcium imaging signals (ΔF/F traces). It uses convolutional neural networks trained on a large ground-truth database of simultaneous electrophysiology and calcium recordings. The original publication in 2021 was trained on a broad range of datasets; more recent versions were trained on mouse spinal cord data and, most recently, on variants of the new sensor GCaMP8. GIF source: https://gcamp6f.com/2026/02/17/cascadetorch-a-pytorch-version-of-cascade-for-spike-inference/
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GitHub

GitHub - PTRRupprecht/CascadeTorch: Calibrated inference of spiking from calcium ΔF/F data using deep networks in PyTorch

Calibrated inference of spiking from calcium ΔF/F data using deep networks in PyTorch - PTRRupprecht/CascadeTorch
A blog about neurophysiology

CascadeTorch: a PyTorch version of Cascade for spike inference

I’m glad to share a PyTorch-based implementation of spike inference from calcium imaging data: CascadeTorch, now available on GitHub. The original Cascade repository remains fully supported. …
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Fabrizio Musacchio
Fabrizio Musacchio
@FabMusacchio@mastodon.social  ·  activity timestamp 2 weeks ago

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].
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].
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].
GitHub

GitHub - MouseLand/suite2p: cell detection in calcium imaging recordings

cell detection in calcium imaging recordings. Contribute to MouseLand/suite2p development by creating an account on GitHub.
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