A convolutional neural network segments yeast microscopy images with high accuracy

Current cell segmentation methods for Saccharomyces cerevisiae face challenges under a variety of standard experimental and imaging conditions. Here the authors develop a convolutional neural network for accurate, label-free cell segmentation.

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Bibliographic Details
Main Authors: Nicola Dietler, Matthias Minder, Vojislav Gligorovski, Augoustina Maria Economou, Denis Alain Henri Lucien Joly, Ahmad Sadeghi, Chun Hei Michael Chan, Mateusz Koziński, Martin Weigert, Anne-Florence Bitbol, Sahand Jamal Rahi
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Q
Online Access:https://doaj.org/article/1386b197c37e4a83a88513c47ac98ec5
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