Source link : https://health365.info/ai-and-open-source-utility-promise-quicker-simpler-biomedical-imaging/
Credit score: Magazine of the American Chemical Society (2025). DOI: 10.1021/jacs.5c03749
Two new open-source gear are set to make fluorescence lifetime imaging microscopy—or FLIM—quicker, more practical and extra out there. Advanced by means of Ph.D. scholar Sofia Kapsiani in Professor Gabi Kaminski Schierle’s Molecular Neuroscience Crew, the gear take on long-standing technical and sensible obstacles in biomedical imaging.
Taking a two-pronged method, Kapsiani has created FLIMPA, an impressive phasor research utility, and FLIMngo, a deep finding out style that slashes information acquisition time. In combination, they target to triumph over commonplace barriers in FLIM—from gradual imaging speeds to expensive, closed-source utility—to assist researchers follow the method extra flexibly in reside imaging and well being care analysis.
Launched simply weeks aside, the 2 papers mark a vital advance in reside imaging analysis.
The most recent, revealed within the Magazine of the American Chemical Society and titled “Deep learning for fluorescence lifetime predictions enables high-throughput in vivo imaging,” introduces FLIMngo.
FLIMngo is a deep finding out style that is in a position to slash the time had to accumulate FLIM information. Skilled to paintings with extraordinarily low photon counts, FLIMngo can analyze in vivo pictures in only a few seconds, with out sacrificing accuracy.
That no longer handiest makes FLIM quicker,…
—-
Author : admin
Publish date : 2025-07-09 22:07:00
Copyright for syndicated content belongs to the linked Source.
—-
1 – 2 – 3 – 4 – 5 – 6 – 7 – 8