A review for cell and particle tracking on microscopy images using algorithms and deep learning technologies

Time-lapse microscopy images generated by biological experiments have been widely used for observing target activities, such as the motion trajectories and survival states. Based on these observations, biologists can conclude experimental results or present new hypotheses for several biological appl...

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Detalles Bibliográficos
Autores principales: Cheng, Hui-Jun, Hsu, Ching-Hsien, Hung, Che-Lun, Lin, Chun-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chang Gung University 2022
Materias:
Short Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421944/
https://www.ncbi.nlm.nih.gov/pubmed/34628059
http://dx.doi.org/10.1016/j.bj.2021.10.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421944/
https://www.ncbi.nlm.nih.gov/pubmed/34628059
http://dx.doi.org/10.1016/j.bj.2021.10.001

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