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Flexible and open-source programs for quantitative image analysis in microbial ecology

Alexis L. Pasulka, Jonathan F. Hood, Dana E. Michels, Mason D. Wright
doi: https://doi.org/10.1101/2022.09.23.509172
Alexis L. Pasulka
1Biological Sciences Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA
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  • For correspondence: apasulka@calpoly.edu
Jonathan F. Hood
2Aerospace Engineering Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA
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Dana E. Michels
1Biological Sciences Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA
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Mason D. Wright
1Biological Sciences Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA
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  • https://github.com/PECO-CP/MiA

  • https://github.com/PECO-CP/ViA

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Posted September 23, 2022.
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Flexible and open-source programs for quantitative image analysis in microbial ecology
Alexis L. Pasulka, Jonathan F. Hood, Dana E. Michels, Mason D. Wright
bioRxiv 2022.09.23.509172; doi: https://doi.org/10.1101/2022.09.23.509172
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Flexible and open-source programs for quantitative image analysis in microbial ecology
Alexis L. Pasulka, Jonathan F. Hood, Dana E. Michels, Mason D. Wright
bioRxiv 2022.09.23.509172; doi: https://doi.org/10.1101/2022.09.23.509172

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