Learning bioimage analysis resource list
Posted on 29 January 2019
A list of papers, websites, online books, videos and essential tools for getting started in bioimage analysis suggested by the Image Analysis Collaboratory at Harvard Medical School.
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SynapseNet: Deep Learning for Automatic Synapse Reconstruction
automatic synapse reconstruction and analysis in EM
Sarah Muth, Frederieke Moschref, Luca Freckmann, Sophia Mutschall, Ines Hojas-Garcia-Plaza, Julius N. Bahr, Arsen Petrovic, Thanh Thao Do, Valentin Schwarze, Anwai Archit, Kirsten Weyand, Susann Michanski, Lydia Maus, Cordelia Imig, Nils Brose, Carolin Wichmann, Ruben Fernandez-Busnadiego, Tobias Moser, Silvio O. Rizzoli, Benjamin H. Cooper, Constantin Pape
Mastodon
Tracking and track-editing framework
Python Bioimage Computing Toolkit (PuBliCiTy)
Python functions, scripts, and classes
Marcelo Cicconet