Deep Learning for Fluorescence Lifetime Predictions Enables High-Throughput In Vivo Imaging
Fluorescence lifetime imaging microscopy (FLIM) is a powerful optical tool widely used in biomedical research to study changes in a sampleโs microenvironment. However, data collection and interpretati...
๐ New in JACS: We present FLIMngo, a deep learning model that predicts fluorescence lifetimes from low-photon FLIM data โ enabling fast, in vivo imaging without retraining. Now open-source!
๐ doi.org/10.1021/jacs...
๐ฌ @ceb.cam.ac.uk
#DeepLearning#Microscopy#FLIM#Neurodegeneration #OpenScience
22.07.2025 21:59 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
HI! ๐ Weโre the Department of Chemical Engineering and Biotechnology at the University of Cambridge. We like:
๐งชScience that pushes the envelope
๐Working to solve the worldโs biggest challenges
๐งโ๐ฌCollaborating with amazing scientists
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Hello, we are moving onto bluesky, all the successive updates from our group will be posted on this platform๐๐ฌ๐งฌ๐ง
23.01.2025 12:05 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Lorenzo Di Michele's research group at @cebcambridge.bsky.social University of Cambridge (and also a bit at Imperial College). Working on DNA/RNA nanotechnology and Synthetic Cells
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Genetics professor: axon ER & degeneration in Drosophila, spastic paraplegia. Rejoin EU. Not the GAA commentator. Speak only for myself. Gaeilge, Deutsch. Maghera (Co Derry), Cambridge (UK).
https://www.gen.cam.ac.uk/research-groups/research-groups/okane
Berkeley professor, former Secretary of Labor. Co-founder of @inequalitymedia.bsky.social and @imcivicaction.bsky.social.
Substack: http://robertreich.substack.com
Buy my new book: https://sites.prh.com/reich
Visit my website: https://rbreich.com/
TLM is an initiative to build a network for researchers interested in theory and modelling of biological phenomena. We are on X (old twitter) @TLM_Cambridge, @TLM_Cambridge@mstdn.science. Or follow our website for more details: tlmcambridge.blog
Physicist with interdisciplinary interests. https://www.tcm.phy.cam.ac.uk/~sea31/
#Biophysics #Single-molecule #Democratisation #Run a bit. #Write a bit. Chair, U.K. Physics of Life network #PoLNET @physicsoflifeuk
https://york-biophysics.github.io/
Department of Engineering at the University of Cambridge.
Addressing the world's most pressing challenges with science and technology.
Visit us at www.eng.cam.ac.uk
Assistant Professor, The Chinese University of Hong Kong
RNA local translation; (Pre)Synaptic plasticity; Axonal health & disease
https://www3.sbs.cuhk.edu.hk/en/our_people/prof-wong-ho-wai-hovy/