scholarly journals High compression deep learning based single-pixel hyperspectral macroscopic fluorescence lifetime imaging in vivo

2020 ◽  
Vol 11 (10) ◽  
pp. 5401
Author(s):  
M. Ochoa ◽  
A. Rudkouskaya ◽  
R. Yao ◽  
P. Yan ◽  
M. Barroso ◽  
...  
Keyword(s):  
Deep Learning ◽  
Fluorescence Lifetime ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
High Compression ◽  
Single Pixel

scholarly journals Deep Learning Enhanced Hyperspectral Fluorescence Lifetime Imaging

2020 ◽  
Author(s):  
Marien Ochoa ◽  
Alena Rudkouskaya ◽  
Ruoyang Yao ◽  
Pingkun Yan ◽  
Margarida Barroso ◽  
...  
Keyword(s):  
Deep Learning ◽  
Fluorescence Lifetime ◽  
Detection Efficiency ◽  
Optical Data ◽  
Fluorescence Lifetime Imaging ◽  
Her2 Positive ◽  
Lifetime Imaging ◽  
Intracellular Drug Delivery ◽  
Single Pixel

Acquiring dense high-dimensional optical data in biological applications remains a challenge due to the very low levels of light typically encountered. Single pixel imaging methodologies enable improved detection efficiency in such conditions but are still limited by relatively slow acquisition times. Here, we propose a Deep Learning framework, NetFLICS-CR, which enables fast hyperspectral lifetime imaging for in vivo applications at enhanced resolution, acquisition and processing speeds, without the need of experimental training datasets. NetFLICS-CR reconstructs intensity and lifetime images at 128×128 pixels over 16 spectral channels while reducing the current acquisition times from ∼2.5 hours at 50% compression to ∼3 minutes at 99% compression when using a single-pixel Hyperspectral Macroscopic Fluorescence Lifetime Imaging (HMFLI) system. The potential of the technique is demonstrated in silico, in vitro and in vivo through the monitoring of receptor-ligand interactions in mice liver and bladder and further imaging of intracellular drug delivery of the clinical drug Trastuzumab in live animals bearing HER2-positive breast tumor xenografts.

scholarly journals In Vivo Fluorescence Lifetime Imaging for Monitoring the Efficacy of the Cancer Treatment

2014 ◽  
Vol 20 (13) ◽  
pp. 3531-3539 ◽  
Author(s):  
Yasaman Ardeshirpour ◽  
Victor Chernomordik ◽  
Moinuddin Hassan ◽  
Rafal Zielinski ◽  
Jacek Capala ◽  
...  
Keyword(s):  
Cancer Treatment ◽  
Fluorescence Lifetime ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
In Vivo Fluorescence

scholarly journals Coarse-grained modeling of mitochondrial metabolism enables subcellular flux inference from fluorescence lifetime imaging microscopy

2020 ◽  
Author(s):  
Xingbo Yang ◽  
Daniel J. Needleman
Keyword(s):  
Fluorescence Lifetime ◽  
Metabolic Flux ◽  
Living Cells ◽  
Coarse Grained ◽  
Fluorescence Lifetime Imaging Microscopy ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
Metabolic Fluxes ◽  
Subcellular Resolution

AbstractMitochondria are central to metabolism and their dysfunctions are associated with many diseases1–9. Metabolic flux, the rate of turnover of molecules through a metabolic pathway, is one of the most important quantities in metabolism, but it remains a challenge to measure spatiotemporal variations in mitochondrial metabolic fluxes in living cells. Fluorescence lifetime imaging microscopy (FLIM) of NADH is a label-free technique that is widely used to characterize the metabolic state of mitochondria in vivo10–18. However, the utility of this technique has been limited by the inability to relate FLIM measurement to the underlying metabolic activities in mitochondria. Here we show that, if properly interpreted, FLIM of NADH can be used to quantitatively measure the flux through a major mitochondrial metabolic pathway, the electron transport chain (ETC), in vivo with subcellular resolution. This result is based on the use of a coarse-grained NADH redox model, which we test in mouse oocytes subject to a wide variety of perturbations by comparing predicted fluxes to direct biochemical measurements and by self-consistency criterion. Using this method, we discovered a subcellular spatial gradient of mitochondrial metabolic flux in mouse oocytes. We showed that this subcellular variation in mitochondrial flux correlates with a corresponding subcellular variation in mitochondrial membrane potential. The developed model, and the resulting procedure for analyzing FLIM of NADH, are valid under nearly all circumstances of biological interest. Thus, this approach is a general procedure to measure metabolic fluxes dynamically in living cells, with subcellular resolution.

Towards in-vivo assessment of fluorescence lifetime: imaging using time-gated intensified CCD camera

2018 ◽  
Vol 38 (4) ◽  
pp. 966-974 ◽  
Author(s):  
Piotr Sawosz ◽  
Stanislaw Wojtkiewicz ◽  
Michal Kacprzak ◽  
Elzbieta Zieminska ◽  
Magdalena Morawiec ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Ccd Camera ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
In Vivo Assessment

Deep learning for quantitative bi-exponential fluorescence lifetime imaging (Conference Presentation)

2019 ◽  
Author(s):  
Jason T. Smith ◽  
Ruoyang Yao ◽  
Sez-Jade Chen ◽  
Nattawut Sinsuebphon ◽  
Alena Rudkouskaya ◽  
...  
Keyword(s):  
Deep Learning ◽  
Fluorescence Lifetime ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging

Using in vivo multiphoton fluorescence lifetime imaging to unravel disease-specific changes in the liver redox state

2020 ◽  
Vol 8 (3) ◽  
pp. 034003
Author(s):  
Deborah S Barkauskas ◽  
Gregory Medley ◽  
Xiaowen Liang ◽  
Yousuf H Mohammed ◽  
Camilla A Thorling ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Redox State ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
Disease Specific

scholarly journals Fluorescence lifetime imaging of upper gastrointestinal pH in vivo with a lanthanide based near-infrared τ probe

2019 ◽  
Vol 10 (15) ◽  
pp. 4227-4235 ◽  
Author(s):  
Yingying Ning ◽  
Shengming Cheng ◽  
Jing-Xiang Wang ◽  
Yi-Wei Liu ◽  
Wei Feng ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Near Infrared ◽  
Lanthanide Complex ◽  
Fluorescence Lifetime Imaging ◽  
Ph Responsive ◽  
Gastrointestinal Ph ◽  
Lifetime Imaging ◽  
Upper Gastrointestinal

Lanthanide complex was successfully applied in the design of pH-responsive NIR τ probe for quantitative in vivo imaging.

Interaction of metastasis-inducing S100A4 protein in vivo by fluorescence lifetime imaging microscopy

2004 ◽  
Vol 34 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Shu Zhang ◽  
Guozheng Wang ◽  
David G. Fernig ◽  
Philip S. Rudland ◽  
Stephen E. D. Webb ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Fluorescence Lifetime Imaging Microscopy ◽  
Fluorescence Lifetime Imaging ◽  
S100a4 Protein ◽  
Lifetime Imaging
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