Performance Comparison of Five Methods for Tetrahymena Number Counting on the ImageJ Platform: Assessing the Built-in Tool and Machine-Learning-Based Extension

Previous methods to measure protozoan numbers mostly rely on manual counting, which suffers from high variation and poor efficiency. Although advanced counting devices are available, the specialized and usually expensive machinery precludes their prevalent utilization in the regular laboratory routi...

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Detalles Bibliográficos
Autores principales: Kurnia, Kevin Adi, Sampurna, Bonifasius Putera, Audira, Gilbert, Juniardi, Stevhen, Vasquez, Ross D., Roldan, Marri Jmelou M., Tsao, Che-Chia, Hsiao, Chung-Der
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181243/
https://www.ncbi.nlm.nih.gov/pubmed/35682689
http://dx.doi.org/10.3390/ijms23116009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181243/
https://www.ncbi.nlm.nih.gov/pubmed/35682689
http://dx.doi.org/10.3390/ijms23116009

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