ArticleJournal of biomedical optics2025
Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling.
Article in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Development of solid-state fluorescence lifetime standards for clinical applications using dyed epoxy resins.Journal of biomedical optics · 2026Article
- Metabolic imaging for gamete and embryo assessment through advanced microscopy technologies: a novel avenue for artificial intelligence?Human reproduction (Oxford, England) · 2026Review
- Live-Cell Optical Redox Imaging Reveals Metabolic Heterogeneity and Context-Dependent Responses to Metabolic Perturbation in TNBC Cells.Metabolites · 2026Article
- Submicromolar imaging of intrinsic chromophores by two-photon photothermal microscopy captures mitochondrial response to chemotherapy.Science advances · 2026Article
- Autofluorescence lifetime imaging resolves cell heterogeneity within peripheral blood mononuclear cells.Biophotonics discovery · 2026Article
- Viral reprogramming of neuronal metabolism captured by label-free imaging in a 3D human brain tissue model.Neurophotonics · 2026Article
- Autofluorescence imaging reveals the impact of cryopreservation on T cell metabolism and activation response.Molecular therapy. Advances · 2026Article
- Article
- Optical Redox Imaging of Breast Cancer NADH Redox Status Associated with PGC1α Gene Expression.Academic radiology · 2026Article
- FLIM quality metric visualization as a means to validate consistency across large-area non-homogeneous FLIM datasets.Methods and applications in fluorescence · 2026Article
- Autofluorescence lifetime imaging resolves cell heterogeneity within peripheral blood mononuclear cells.bioRxiv : the preprint server for biology · 2026Article
- Understanding cardiovascular aging as a disorder of mitochondrial network.The journal of cardiovascular aging · 2026Article
- Insights into the biological effects of molybdenum in an insect model (Frontiers in bioengineering and biotechnology · 2026Article
- Autofluorescence imaging reveals the impact of cryopreservation on T cell metabolism and activation response.bioRxiv : the preprint server for biology · 2025Article
- Introduction to Special Issue on Metabolic Imaging and Spectroscopy, 2025.Journal of biomedical optics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
38 authors.
Funding
Abstract
Significance: Cellular metabolism plays a central role in health and disease, making its study critical for advancing diagnostics and therapies. Label-free optical metabolic imaging using endogenous fluorescence from reduced nicotinamide adenine dinucleotide (phosphate) [NAD(P)H] and flavin adenine dinucleotide (FAD) provides nondestructive, high-resolution insights into metabolic function and heterogeneity from the sub-cellular to the tissue level. Standardized approaches are essential to ensure reproducibility and comparability across studies. Aim: We aim to establish a consensus framework for the acquisition, calibration, and reporting of microscopic imaging metabolic function assessments based on fluorescence intensity and lifetime measurements of NAD(P)H and FAD. Approach: We present best practices for calibrating, analyzing, and reporting fluorescence intensity-based optical redox ratios and fluorescence lifetime data using multiexponential fitting and phasor analysis. Guidelines for validation experiments and cross-system standardization are provided to improve accuracy and reproducibility. Results: We demonstrate the importance of calibration procedures and normalization strategies for intensity-based optical redox measurements. We highlight needed calibration, signal-to-noise ratio considerations, and the impact of distinct analytical approaches on fluorescence lifetime-based metabolic function metrics. Conclusion: We recommend a consistent, practical framework for reproducible, label-free, optical metabolic imaging, facilitating robust comparisons across studies and supporting the broader adoption of optical metabolic imaging technologies for biomedical research and clinical translation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.