Credit score: Journal of the American Chemical Society (2025). DOI: 10.1021/jacs.5c03749
Two new open-source instruments are set to make fluorescence lifetime imaging microscopy—or FLIM—quicker, less complicated and extra accessible. Developed by Ph.D. pupil Sofia Kapsiani in Professor Gabi Kaminski Schierle’s Molecular Neuroscience Group, the instruments sort out long-standing technical and sensible boundaries in biomedical imaging.
Taking a two-pronged method, Kapsiani has created FLIMPA, a robust phasor evaluation software program, and FLIMngo, a deep studying mannequin that slashes knowledge acquisition time. Collectively, they purpose to beat frequent limitations in FLIM—from sluggish imaging speeds to pricey, closed-source software program—to assist researchers apply the method extra flexibly in stay imaging and well being care analysis.
Launched simply weeks aside, the 2 papers mark a major advance in stay imaging analysis.
The newest, printed within the Journal 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 studying mannequin that is ready to slash the time wanted to gather FLIM knowledge. Educated to work with extraordinarily low photon counts, FLIMngo can analyze in vivo photos in only a few seconds, with out sacrificing accuracy.
That not solely makes FLIM quicker, but in addition reduces gentle publicity and phototoxicity—essential when working with stay samples. Kapsiani demonstrated its potential by monitoring disease-related protein aggregates in C. elegans all through their pure lifespan, with out the necessity for anesthesia. The mannequin is open supply and able to use throughout imaging programs.
“FLIM has so much potential for live imaging, but it’s been held back by practical limitations,” stated Kapsiani. “With these tools, we’re trying to remove those barriers and make FLIM a more flexible option for a wider range of researchers.”
The sooner paper, printed in Analytical Chemistry and titled “FLIMPA: A versatile software for fluorescence lifetime imaging microscopy phasor analysis,” launched FLIMPA.
It’s a standalone instrument for phasor evaluation, an more and more standard methodology for deciphering FLIM knowledge. Not like industrial software program, FLIMPA is free, open supply and appropriate with a variety of file sorts. It brings collectively superior visualization options with an intuitive interface, permitting researchers to match a number of samples and zoom in on particular molecular behaviors.
In an indication of its versatility, Kapsiani used FLIMPA to develop a brand new cell-based assay that quantifies microtubule depolymerization—a key mechanism in anti-cancer drug analysis—by monitoring adjustments within the fluorescence lifetime of SiR-tubulin.
“These are excellent examples of what can be achieved when deep technical insight meets creativity and curiosity,” stated Professor Kaminski Schierle. “Sofia’s work is helping to push FLIM from a niche tool to something much more accessible and scalable.”
Extra info:
Sofia Kapsiani et al, Deep Studying for Fluorescence Lifetime Predictions Allows Excessive-Throughput In Vivo Imaging, Journal of the American Chemical Society (2025). DOI: 10.1021/jacs.5c03749
Sofia Kapsiani et al, FLIMPA: A Versatile Software program for Fluorescence Lifetime Imaging Microscopy Phasor Evaluation, Analytical Chemistry (2025). DOI: 10.1021/acs.analchem.5c00495
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AI and open-source software program promise quicker, simpler biomedical imaging (2025, July 9)
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