Robotics & Machine Learning Daily News2024,Issue(Apr.2) :133-138.

Researchers Submit Patent Application, "Imaging Based Assay Accuracy Improvement Through Guided Training", for Approval (USPTO 20240085304)

Robotics & Machine Learning Daily News2024,Issue(Apr.2) :133-138.

Researchers Submit Patent Application, "Imaging Based Assay Accuracy Improvement Through Guided Training", for Approval (USPTO 20240085304)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors CHOU, Stephen Y. (Princeto n, NJ, US); CHOU, Wu (Basking Ridge, NJ, US); DING, Wei (East Windsor, NJ, US); LI, Xing (Metuchen, NJ, US); QI, Ji (Hillsborough, NJ, US), filed on January 18, 2022, was made available online on March 14, 2024. The patent's assignee is Essenlix Corporation (Monmouth Junction, New Jersey, Un ited States). News editors obtained the following quote from the background information suppli ed by the inventors: "In image-based bio/chemical sensing and assaying (e.g., im munoassay, nucleotide assay, blood cell counting, etc.), for low cost and/or por table system, a low quality imaging system often used. However, a low quality im aging system can have an imperfection (a deviation from an ideal) in optical ele ments, mechanical system, and/or electrical system. Such imperfection can signif icantly affect the assay accuracy.

Key words

Business/Cyborgs/Emerging Technologies/Essenlix Corporation/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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