Published September 21, 2021 | Version 1.0
Journal article Open

pcnaDeep: A Fast and Robust Single-Cell Tracking Method Using Deep-Learning Mediated Cell Cycle Profiling

Description

pcnaDeep is a Python application for cell tracking and cell cycle profiling using PCNA fluorescent signal.

Preprint: https://www.biorxiv.org/content/10.1101/2021.09.19.460933v1

Dataset descriptions:

  • mrcnn_sat_rot_aug.pth: Mask R-CNN (FPN, ResNet-50 backbone) weights trained on 60X (oil) images sized 1200*1200 pixel2.
  • .rar files: datasets used for pcnaDeep tutorials. See detailed descriptions here.

Files

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md5:91e76726febd735f269d5da5546524ff
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md5:d2435071e713759498d930e03618b8db
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md5:8a86a08ce1937b1e4d60cd9f7fa8e8f3
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md5:adbe6c008866c1f542c35881ee6c50a5
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md5:ccc6c5bece8a05b9578de36e71eaf8b5
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Related works

Is published in
Preprint: 10.1101/2021.09.19.460933 (DOI)