Cargando…
Deep Learning for Microfluidic-Assisted Caenorhabditis elegans Multi-Parameter Identification Using YOLOv7
The Caenorhabditis elegans (C. elegans) is an ideal model organism for studying human diseases and genetics due to its transparency and suitability for optical imaging. However, manually sorting a large population of C. elegans for experiments is tedious and inefficient. The microfluidic-assisted C....
Autores principales: | Zhang, Jie, Liu, Shuhe, Yuan, Hang, Yong, Ruiqi, Duan, Sixuan, Li, Yifan, Spencer, Joseph, Lim, Eng Gee, Yu, Limin, Song, Pengfei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386376/ https://www.ncbi.nlm.nih.gov/pubmed/37512650 http://dx.doi.org/10.3390/mi14071339 |
Ejemplares similares
-
Microfluidic-Assisted Caenorhabditis elegans Sorting: Current Status and Future Prospects
por: Yuan, Hang, et al.
Publicado: (2023) -
Microfluidic Device for Microinjection of Caenorhabditis elegans
por: Ghaemi, Reza, et al.
Publicado: (2020) -
Microfluidic approaches for Caenorhabditis elegans research
por: Levine, Erel, et al.
Publicado: (2020) -
Computer-Assisted Transgenesis of Caenorhabditis elegans for Deep Phenotyping
por: Gilleland, Cody L., et al.
Publicado: (2015) -
Microfluidic Devices in Advanced Caenorhabditis elegans Research
por: Muthaiyan Shanmugam, Muniesh, et al.
Publicado: (2016)