Label-Free Metabolic Classification of Single Cells in Droplets Using the Phasor Approach to Fluorescence Lifetime Imaging Microscopy. [PDF]
, 2019 Characterization of single cell metabolism is imperative for understanding subcellular functional and biochemical changes associated with healthy tissue development and the progression of numerous diseases.
Aghaamoo, Mohammad +4 more
core +1 more source
Convolutional neural network denoising in fluorescence lifetime imaging microscopy (FLIM) [PDF]
BiOS, 2021 Fluorescence lifetime imaging microscopy (FLIM) systems are limited by their slow processing speed, low signal- to-noise ratio (SNR), and expensive and challenging hardware setups.
Varun Mannam +8 more
semanticscholar +1 more source
Complex wavelet filter improves FLIM phasors for photon starved imaging experiments.
Biomedical Optics Express, 2021 Fluorescence lifetime imaging microscopy (FLIM) with phasor analysis provides easy visualization and analysis of fluorophores' lifetimes which is valuable for multiple applications including metabolic imaging, STED imaging, FRET imaging and functional ...
Peiyu Wang +5 more
semanticscholar +1 more source
Biosensors, 2019 Förster resonance energy transfer (FRET) microscopy is a powerful fluorescence microscopy method to study the nanoscale organization of multiprotein assemblies in vivo.
Michal Skruzny, Emma Pohl, Marc Abella
doaj +1 more source
Visualising apoptosis in live zebrafish using fluorescence lifetime imaging with optical projection tomography to map FRET biosensor activity in space and time [PDF]
, 2015 Fluorescence lifetime imaging (FLIM) combined with optical projection tomography (OPT) has the potential to map Förster resonant energy transfer (FRET) readouts in space and time in intact transparent or near transparent live organisms such as zebrafish ...
Alexandrov, Y +13 more
core +2 more sources
Multiphoton FLIM imaging of NAD(P)H and FAD with one excitation wavelength
Journal of Biomedical Optics, 2020 . Two-photon fluorescence lifetime imaging microscopy (FLIM) is widely used to capture autofluorescence signals from cellular components to investigate dynamic physiological changes in live cells and tissues.
Ruofan Cao, Horst Wallrabe, A. Periasamy
semanticscholar +1 more source
FLIMJ: An open-source ImageJ toolkit for fluorescence lifetime image data analysis.
PLoS ONE, 2020 In the field of fluorescence microscopy, there is continued demand for dynamic technologies that can exploit the complete information from every pixel of an image.
Dasong Gao +7 more
doaj +1 more source
The phasor-FLIM fingerprints reveal shifts from OXPHOS to enhanced glycolysis in Huntington Disease. [PDF]
, 2016 Huntington disease (HD) is an autosomal neurodegenerative disorder caused by the expansion of Polyglutamine (polyQ) in exon 1 of the Huntingtin protein. Glutamine repeats below 36 are considered normal while repeats above 40 lead to HD.
Digman, Michelle A +3 more
core +1 more source
Frontiers in Bioinformatics, 2023 Introduction: Although a powerful biological imaging technique, fluorescence lifetime imaging microscopy (FLIM) faces challenges such as a slow acquisition rate, a low signal-to-noise ratio (SNR), and high cost and complexity.
Varun Mannam +4 more
doaj +1 more source
, 2013 We have developed an automatic method for segmenting fluorescence lifetime (FLT) imaging microscopy (FLIM) images of cells inspired by a multi-resolution community detection (MCD) based network segmentation method.
Dempster +24 more
core +1 more source