Practical guidelines for cell segmentation models under optical aberrations in microscopy

Practical guidelines for cell segmentation models under optical aberrations in microscopy

Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have revolutionized cell segmentation by extracting intricate features from images. However, the robustness of these methods...

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Bibliographic Details
Main Authors: Boyuan Peng, Jiaju Chen, P. Bilha Githinji, Ijaz Gul, Qihui Ye, Minjiang Chen, Peiwu Qin, Xingru Huang, Chenggang Yan, Dongmei Yu, Jiansong Ji, Zhenglin Chen
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Optical aberration
Robustness evaluation
Network head
Network backbone
Cellpose2.0
Point Spread Function Image Label Classification Model
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024002903
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