3D convolutional neural networks predict cellular metabolic pathway use from fluorescence lifetime decay data
Fluorescence lifetime imaging of the co-enzyme reduced nicotinamide adenine dinucleotide (NADH) offers a label-free approach for detecting cellular metabolic perturbations. However, the relationships between variations in NADH lifetime and metabolic pathway changes are complex, preventing robust int...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2024-03-01
|
Series: | APL Bioengineering |
Online Access: | http://dx.doi.org/10.1063/5.0188476 |