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Reshape wants to help ‘decode nature’ by automating the ‘visual’ part of lab experiments
Reshape has developed a robotic imaging system replete with software and AI models to help scientists track visual changes from Petri dishes and similar plate formats.
Reshape, which was founded out of Copenhagen in 2018, has developed a robotic imaging system replete with software and AI models to help scientists track visual changes — such as color or cell-growth rates — from Petri dishes and similar plate formats. So Grøn enlisted two co-founders, Daniel Storgaard and Magnus Madsen, and set about building a full-stack platform, replete with high-resolution cameras and lighting, to capture visual data points and time-lapses and record how different components in a given experiment react to the conditions they are subjected to. “The Reshape data science team, using our custom-built MLops architecture, handles this end-to-end, starting from understanding the desired output and quantification, annotating the required datasets at scale, developing and benchmarking models, and then deploying them in our product for our customers,” Grøn said.
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