Machine learning‐based automated fungal cell counting under a complicated background with ilastik and ImageJ

Author:

Li Chenxi1ORCID,Ma Xiaoyu1,Deng Jing1,Li Jiajia1,Liu Yanjie1,Zhu Xudong1,Liu Jin2,Zhang Ping1

Affiliation:

1. Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology College of Life Sciences Beijing Normal University Beijing P. R. China

2. Beijing Key Laboratory of Gene Resources and Molecular Development College of Life Sciences Beijing Normal University Beijing P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Bioengineering,Environmental Engineering,Biotechnology

Reference26 articles.

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3. Fast and expensive (PCR) or cheap and slow (culture)? A mathematical modelling study to explore screening for carbapenem resistance in UK hospitals

4. Analysis of the chromosome ploidy of Candida glycerinogenes;Song B.;Acta Microbiol Sinica.,2011

5. Application of a non-hazardous vital dye for cell counting with automated cell counters

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