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Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling
- Georgakoudi, Irene;
- Skala, Melissa C;
- Quinn, Kyle P;
- Stringari, Chiara;
- Sorrells, Janet E;
- Heikal, Ahmed A;
- Li, Lin Z;
- Xu, He N;
- You, Sixian;
- Walsh, Alex J;
- Datta, Rupsa;
- Samimi, Kayvan;
- Gillette, Amani A;
- Eliceiri, Kevin W;
- Balu, Mihaela;
- Boppart, Stephen A;
- Digman, Michelle A;
- Dunning, Kylie R;
- Evans, Conor L;
- Garcia, Alba Alfonso;
- Houston, Jessica P;
- Hwang, Wonsang;
- Lindley, Matthew M;
- Li, Xingde;
- Liu, Zhiyi;
- Marcu, Laura;
- Murugkar, Sangeeta;
- Nichols, Michael G;
- Niesner, Raluca;
- Parekh, Sapun H;
- Rajaram, Narasimhan;
- Ranjit, Suman;
- Shen, Keyue;
- Shi, Lingyan;
- Torrado, Belén;
- Vallmitjana, Alexander;
- Wang-Evers, Michael;
- Zemp, Roger
Published Web Location
https://doi.org/10.1117/1.jbo.30.s2.s23901Abstract
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.
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