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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Chang Gung University
2022
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| Materias: | |
| 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 |