Probing organoid metabolism using fluorescence lifetime imaging microscopy (FLIM): The next frontier of drug discovery and disease understanding
Organoid models have been used to address important questions in developmental and
cancer biology, tissue repair, advanced modelling of disease and therapies, among other …
cancer biology, tissue repair, advanced modelling of disease and therapies, among other …
Cardiac multiscale bioimaging: from nano-through micro-to mesoscales
Cardiac multiscale bioimaging is an emerging field that aims to provide a comprehensive
understanding of the heart and its functions at various levels, from the molecular to the entire …
understanding of the heart and its functions at various levels, from the molecular to the entire …
In vivo fluorescence lifetime imaging of macrophage intracellular metabolism during wound responses in zebrafish
V Miskolci, KE Tweed, MR Lasarev, EC Britt, AJ Walsh… - Elife, 2022 - elifesciences.org
The function of macrophages in vitro is linked to their metabolic rewiring. However,
macrophage metabolism remains poorly characterized in situ. Here, we used two-photon …
macrophage metabolism remains poorly characterized in situ. Here, we used two-photon …
Light-sheet autofluorescence lifetime imaging with a single-photon avalanche diode array
Significance Fluorescence lifetime imaging microscopy (FLIM) of the metabolic co-enzyme
nicotinamide adenine dinucleotide (phosphate)[NAD (P) H] is a popular method to monitor …
nicotinamide adenine dinucleotide (phosphate)[NAD (P) H] is a popular method to monitor …
A live-cell image-based machine learning strategy for reducing variability in PSC differentiation systems
The differentiation of pluripotent stem cells (PSCs) into diverse functional cell types provides
a promising solution to support drug discovery, disease modeling, and regenerative …
a promising solution to support drug discovery, disease modeling, and regenerative …
Early detection of cervical cancer by fluorescence lifetime imaging microscopy combined with unsupervised machine learning
M Ji, J Zhong, R Xue, W Su, Y Kong, Y Fei… - International Journal of …, 2022 - mdpi.com
Cervical cancer has high morbidity and mortality rates, affecting hundreds of thousands of
women worldwide and requiring more accurate screening for early intervention and follow …
women worldwide and requiring more accurate screening for early intervention and follow …
Applications of machine learning in time-domain fluorescence lifetime imaging: a review
Many medical imaging modalities have benefited from recent advances in Machine
Learning (ML), specifically in deep learning, such as neural networks. Computers can be …
Learning (ML), specifically in deep learning, such as neural networks. Computers can be …
Using magnetic resonance relaxometry to evaluate the safety and quality of induced pluripotent stem cell-derived spinal cord progenitor cells
The emergence of induced pluripotent stem cells (iPSCs) offers a promising approach for
replacing damaged neurons and glial cells, particularly in spinal cord injuries (SCI). Despite …
replacing damaged neurons and glial cells, particularly in spinal cord injuries (SCI). Despite …
Autofluorescence lifetime flow cytometry with time‐correlated single photon counting
Autofluorescence lifetime imaging microscopy (FLIM) is sensitive to metabolic changes in
single cells based on changes in the protein‐binding activities of the metabolic co‐enzymes …
single cells based on changes in the protein‐binding activities of the metabolic co‐enzymes …
Non-invasive classification of macrophage polarisation by 2P-FLIM and machine learning
In this study, we utilise fluorescence lifetime imaging of NAD (P) H-based cellular
autofluorescence as a non-invasive modality to classify two contrasting states of human …
autofluorescence as a non-invasive modality to classify two contrasting states of human …