scholarly journals Video-rate fluorescence lifetime imaging camera with CMOS single-photon avalanche diode arrays and high-speed imaging algorithm

2011 ◽  
Vol 16 (9) ◽  
pp. 096012 ◽  
Author(s):  
David D.-U. Li ◽  
Jochen Arlt ◽  
David Tyndall ◽  
Richard Walker ◽  
Justin Richardson ◽  
...  
Optica ◽  
2018 ◽  
Vol 5 (10) ◽  
pp. 1290 ◽  
Author(s):  
Andrew J. Bower ◽  
Joanne Li ◽  
Eric J. Chaney ◽  
Marina Marjanovic ◽  
Darold R. Spillman ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
João L. Lagarto ◽  
Federica Villa ◽  
Simone Tisa ◽  
Franco Zappa ◽  
Vladislav Shcheslavskiy ◽  
...  

2020 ◽  
Author(s):  
V. Zickus ◽  
M.-L. Wu ◽  
K. Morimoto ◽  
V. Kapitany ◽  
A. Fatima ◽  
...  

Fluorescence lifetime imaging microscopy (FLIM) is a key technology that provides direct insight into cell metabolism, cell dynamics and protein activity. However, determining the lifetimes of different fluorescent proteins requires the detection of a relatively large number of photons, hence slowing down total acquisition times. Moreover, there are many cases, for example in studies of cell collectives, where wide-field imaging is desired. We report scan-less wide-field FLIM based on a 0.5 Megapixel resolution, time-gated Single Photon Avalanche Diode (SPAD) camera, with acquisition rates up to 1 Hz. Fluorescence lifetime estimation is performed via a pre-trained artificial neural network with 1000-fold improvement in processing times compared to standard least squares fitting techniques. We utilised our system to image HT1080 – human fibrosarcoma cell line as well as Convallaria. The results show promise for real-time FLIM and a viable route towards multi-megapixel fluorescence lifetime images, with a proof-of-principle mosaic image shown with 3.6 megapixels.


2010 ◽  
Vol 18 (10) ◽  
pp. 10257 ◽  
Author(s):  
Day-Uei Li ◽  
Jochen Arlt ◽  
Justin Richardson ◽  
Richard Walker ◽  
Alex Buts ◽  
...  

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