OpticaNeurosciencePeer-reviewed journal article
High-speed, long-term, 4D in vivo lifetime imaging in intact and injured zebrafish and mouse brains by instant FLIM
Yide ZhangiD, Ian Hunter GuldneriD, Ev L. NicholsiD, David BenirschkeiD, Cody J. SmithiD, Siyuan ZhangiD, Scott S. HowardiD
Abstract
Traditional fluorescence microscopy is blind to molecular microenvironment information that is present in fluorescence lifetime, which can be measured by fluorescence lifetime imaging microscopy (FLIM). However, existing FLIM techniques are typically slow to acquire and process lifetime images, difficult to implement, and expensive. Here, we present instant FLIM, an analog signal processing method that allows real-time streaming of fluorescence intensity, lifetime, and phasor imaging data through simultaneous image acquisition and instantaneous data processing. Instant FLIM can be easily implemented by upgrading an existing two-photon microscope using cost-effective components and our open-source software. We further improve the functionality, penetration depth, and resolution of instant FLIM using phasor segmentation, adaptive optics, and super-resolution techniques. We demonstrate through-skull intravital 3D FLIM of mouse brains to depths of 300 m and present the first in vivo 4D FLIM of microglial dynamics in intact and injured zebrafish and mouse brains up to 12 hours.
- Citations
- 51
- FWCI
- 3.17
- Field percentile
- top 7%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Deep learning for fluorescence lifetime predictions enables high-throughput in vivo imaging
Sofia Kapsiani, Nino F. Läubli, … Gabriele S. Kaminski Schierle·Journal of the American Chemical SocietyPeer-reviewed·Jun 14, 2025
- Phasor EO-FLIM: Lifetime imaging with picosecond noise and 500 Hz frame rate
Linghao Hu, Pingchuan Ma, … Adam J. Bowman·bioRxiv·Jun 2, 2026
- Fast volumetric fluorescence lifetime imaging of multicellular systems using single-objective light-sheet microscopy
V. Dunsing-Eichenauer, J. Hummert, … P.-F. Lenne·bioRxiv·Mar 24, 2024
- vFLIM: Machine Learning-enabled Light Sheet Fluorescence Lifetime Imaging
Chad Michael Hobson, Owen F. Puls, … Teng‐Leong Chew·bioRxiv·Aug 26, 2026
- Multiphoton tomographic fluorescence lifetime imaging microscopy -TomoFLIM
Liam Collard, Ani Augustine Jose, … Simon P. Poland·bioRxiv·Sep 16, 2026
- A low-cost FPGA-based approach for pile-up corrected high-speed in vivo FLIM imaging
Felipe Velasquez Moros, Dorian Amiet, … Luca Ravotto·NeurophotonicsPeer-reviewed·May 5, 2025