Micro Imaging Technology Inc (MMTC)

[besidestillwater]

OPEN SOURCE KNIME I.D. PROGRAM "REVOLUTIONIZED_INTO_ HRMAn"
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Yakimovich, Frickel, and colleagues started with an existing open-source neural network–based analytics platform called KNIME (for Konstanz Information Miner) and tweaked its algorithms to process images of host cells and their pathogens. The system required training with thousands of example images, and once it was up and running, the team gave the system a name: HRMAn, pronounced Herman, for Host Response to Microbe Analysis.

They’ve used the software to analyze Toxoplasma gondii and Salmonella enterica infections in a variety of human cell lines. Other high-throughput image-analysis software may be capable of identifying which cells contain pathogens, but HRMAn comes into its own, says Frickel, in its ability to identify multiple visual characteristics of pathogens and host cells at once and detect patterns in the images.

Indeed, the team demonstrated that HRMAn could simultaneously recognize pathogen killing, replication, and a variety of cellular defense processes—just as a trained scientist might, but the computer had far higher throughput and greater statistical strength, and did not require tea breaks and sleep.

“It’s a tool that goes beyond our ability as humans to process and to interpret image data,” says parasitologist Adrian Hehl of the University of Zurich who was not involved in the study (eLife, 8:e40560, 2019).

https://www.the-scientist.com/modus-operandi/microbiology-meets-machine-learning-65780?utm_content=91831828&utm_medium=social&utm_source=twitter&hss_channel=tw-18198832