Population dynamics analysis of an industrial methanotrophic consortium based on Methylococcus capsulatus KN2 using AI technologies
Maksim V. Zakhartsev, Dmitriy A. Pavlov, Igor Y. Oshkin, Victoria A. Saltykova, Azret A. Kochkarov · 2026
Read Population dynamics analysis of an industrial methanotrophic consortium based on Methylococcus capsulatus KN2 using AI technologies by Maksim V. Zakhartsev, Dmitriy A. Pavlov, Igor Y. Oshkin, Victoria A. Saltykova, Azret A. Kochkarov (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13322215.txt.
Description
Maksim V. Zakhartsev and colleagues automate cell counting in an industrial methane eating culture in a 2026 study. Makers of single cell protein from natural gas must watch the mix of cell shapes in Methylococcus capsulatus KN2 cultures, a slow and subjective job by microscope. A vision network was trained for the task instead.
The network learned from 250 microscope images holding 50,410 labelled objects across nine cell shapes. On held back images it reached a precision of 0.87 and recall of 0.85 in weighted scores. In the industrial mix, producer cells made up 88.5 percent of the population counted. Fast, even counts could help factories tune protein output.
Catalog record
| CREATOR | Maksim V. Zakhartsev, Dmitriy A. Pavlov, Igor Y. Oshkin, Victoria A. Saltykova, Azret A. Kochkarov |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 82794 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |