Multi-Scale Aggregated-Dilation Network for ex-vivo Lung Cancer Detection with Fluorescence Lifetime Imaging Endomicroscopy

2021 ◽  
Author(s):  
Qiang Wang ◽  
James R. Hopgood ◽  
Marta Vallejo
Keyword(s):  
Lung Cancer ◽  
Cancer Detection ◽  
Fluorescence Lifetime ◽  
Ex Vivo ◽  
Fluorescence Lifetime Imaging ◽  
Multi Scale ◽  
Lifetime Imaging ◽  
Lung Cancer Detection

scholarly journals Fluorescence Lifetime Endomicroscopic Image-based ex-vivo Human Lung Cancer Differentiation Using Machine Learning

2020 ◽  
Author(s):  
Qiang Wang ◽  
Marta Vallejo ◽  
James Hopgood
Keyword(s):  
Lung Cancer ◽  
Exposure Time ◽  
Fluorescence Lifetime ◽  
Human Lung ◽  
Ex Vivo ◽  
Human Lung Cancer ◽  
Fluorescence Lifetime Imaging ◽  
Normal Tissues ◽  
Optical Wavelength ◽  
Lifetime Imaging

<div><i>Over 20,000 fluorescence lifetime images from 10 patients were collected using a fibre-based custom </i><i>fluorescence lifetime imaging endomicroscopy (FLIM)</i><i> system. </i>During the data collection, various measuring conditions were applied, including exposure time, optical wavelength, and lifetime extraction approaches to obtain diverse results rich in spatial and spectral resolution. The data for further processing was chosen with exposure time of 6 and 20 ns, excitation bands of 490-570 and 594-764 nm, and RLD. In addition, there are some images with sizes different than 128x128. In order to avoid any artificial errors on the lifetime images during the processing, only the lifetime images with 128x128 resolution were selected. After the selection, there were 10,155 and 11,363 frames of cancer and normal tissues respectively, and each frame contained one intensity and one corresponding lifetime image.<br></div>

scholarly journals Fluorescence Lifetime Endomicroscopic Image-based ex-vivo Human Lung Cancer Differentiation Using Machine Learning

2020 ◽  
Author(s):  
Qiang Wang ◽  
Marta Vallejo ◽  
James Hopgood
Keyword(s):  
Lung Cancer ◽  
Exposure Time ◽  
Fluorescence Lifetime ◽  
Human Lung ◽  
Ex Vivo ◽  
Human Lung Cancer ◽  
Fluorescence Lifetime Imaging ◽  
Normal Tissues ◽  
Optical Wavelength ◽  
Lifetime Imaging

<div><i>Over 20,000 fluorescence lifetime images from 10 patients were collected using a fibre-based custom </i><i>fluorescence lifetime imaging endomicroscopy (FLIM)</i><i> system. </i>During the data collection, various measuring conditions were applied, including exposure time, optical wavelength, and lifetime extraction approaches to obtain diverse results rich in spatial and spectral resolution. The data for further processing was chosen with exposure time of 6 and 20 ns, excitation bands of 490-570 and 594-764 nm, and RLD. In addition, there are some images with sizes different than 128x128. In order to avoid any artificial errors on the lifetime images during the processing, only the lifetime images with 128x128 resolution were selected. After the selection, there were 10,155 and 11,363 frames of cancer and normal tissues respectively, and each frame contained one intensity and one corresponding lifetime image.<br></div>

scholarly journals Distinct metabolic profiles in Drosophila sperm and somatic tissues revealed by two-photon NAD(P)H and FAD autofluorescence lifetime imaging

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Cornelia Wetzker ◽  
Klaus Reinhardt
Keyword(s):  
Fluorescence Lifetime ◽  
Biological Diversity ◽  
Ex Vivo ◽  
Substantial Reduction ◽  
Metabolic Profiles ◽  
Fluorescence Lifetime Imaging ◽  
Two Photon ◽  
Lifetime Imaging ◽  
Somatic Tissues ◽  
Two Photon Fluorescence

AbstractMetabolic profiles vary across all levels of biological diversity, from cells to taxa. Two-photon fluorescence lifetime imaging microscopy (FLIM) facilitates metabolic characterisation of biological specimens by assaying the intrinsic autofluorescence of the ubiquitous coenzymes NAD(P)H and FAD. The potential of this method for characterising the diversity of organismal metabolism remains largely untapped. Using FLIM in Drosophila melanogaster, we show tissue-specificity in fluorescence lifetime that reflects variation in redox patterns. In particular, sperm cells exhibited elevated glycolysis relative to other tissues. We also show that sperm metabolism is phenotypically plastic: compared to male-stored sperm, sperm stored in the female’s storage organ showed a substantial reduction in the protein-bound FAD lifetime fraction but no change in the NAD(P)H profile. This study represents the first ex vivo investigation of sperm metabolism using FLIM.

scholarly journals In Vivo Time Domain Optical Imaging of Renal Ischemia-Reperfusion Injury: Discrimination Based on Fluorescence Lifetime

2007 ◽  
Vol 6 (5) ◽  
pp. 7290.2007.00030 ◽  
Author(s):  
Abedelnasser Abulrob ◽  
Eric Brunette ◽  
Jacqueline Slinn ◽  
Ewa Baumann ◽  
Danica Stanimirovic
Keyword(s):  
Optical Imaging ◽  
Fluorescence Lifetime ◽  
Fluorescence Intensity ◽  
Time Domain ◽  
Ex Vivo ◽  
Renal Ischemia ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
Lifetime Analysis

Fluorescence lifetime is an intrinsic parameter of the fluorescent probe, independent of the probe concentration but sensitive to changes in the surrounding microenvironment. Therefore, fluorescence lifetime imaging could potentially be applied to in vivo diagnostic assessment of changes in the tissue microenvironment caused by disease, such as ischemia. The aim of this study was to evaluate the utility of noninvasive fluorescence lifetime imaging in distinguishing between normal and ischemic kidney tissue in vivo. Mice were subjected to 60-minute unilateral kidney ischemia followed by 6-hour reperfusion. Animals were then injected with the near-infrared fluorescence probe Cy5.5 or saline and imaged using a time-domain small-animal optical imaging system. Both fluorescence intensity and lifetime were acquired. The fluorescence intensity of Cy5.5 was clearly reduced in the ischemic compared with the contralateral kidney, and the fluorescence lifetime of Cy5.5 was not detected in the ischemic kidney, suggesting reduced kidney clearance. Interestingly, the two-component lifetime analysis of endogenous fluorescence at 700 nm distinguished renal ischemia in vivo without the need for Cy5.5 injection for contrast enhancement. The average fluorescence lifetime of endogenous tissue fluorophores was a sensitive indicator of kidney ischemia ex vivo. The study suggests that fluorescence lifetime analysis of endogenous tissue fluorophores could be used to discriminate ischemic or necrotic tissues by noninvasive in vivo or ex vivo organ imaging.

scholarly journals Fluorescence Lifetime Imaging and Intravascular Ultrasound: Co-Registration Study Using Ex Vivo Human Coronaries

2015 ◽  
Vol 34 (1) ◽  
pp. 156-166 ◽  
Author(s):  
Dimitris Gorpas ◽  
Hussain Fatakdawala ◽  
Julien Bec ◽  
Dinglong Ma ◽  
Diego R. Yankelevich ◽  
...  
Keyword(s):  
Intravascular Ultrasound ◽  
Fluorescence Lifetime ◽  
Ex Vivo ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging
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