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Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling

  • Irene Georgakoudi
  • , Melissa C. Skala
  • , Kyle P. Quinn
  • , Chiara Stringari
  • , Janet E. Sorrells
  • , Ahmed A. Heikal
  • , Lin Z. Li
  • , He N. Xu
  • , Sixian You
  • , Alex J. Walsh
  • , Rupsa Datta
  • , Kayvan Samimi
  • , Amani A. Gillette
  • , Kevin W. Eliceiri
  • , Mihaela Balu
  • , Stephen A. Boppart
  • , Michelle A. Digman
  • , Kylie R. Dunning
  • , Conor L. Evans
  • , Alba Alfonso Garcia
  • Jessica P. Houston, Wonsang Hwang, Matthew M. Lindley, Xingde Li, Zhiyi Liu, Laura Marcu, Sangeeta Murugkar, Michael G. Nichols, Raluca Niesner, Sapun H. Parekh, Narasimhan Rajaram, Suman Ranjit, Keyue Shen, Lingyan Shi, Belén Torrado, Alexander Vallmitjana, Michael Wang-Evers, Roger Zemp
  • Thayer School of Engineering at Dartmouth
  • Dartmouth Cancer Center
  • Tufts University
  • Morgridge Institute for Research
  • University of Wisconsin
  • University of Arkansas
  • Washington University
  • University of Illinois
  • University of Minnesota Duluth
  • University of Pennsylvania Perelman School of Medicine
  • Massachusetts Institute of Technology
  • Texas AandM University
  • University of Wisconsin-Madison
  • University of California
  • University of Illinois at Urbana-Champaign
  • University of California
  • University of Adelaide
  • The University of Adelaide
  • Harvard Medical School
  • New Mexico State University College of Engineering
  • Johns Hopkins University
  • International Research Center for Advanced Photonics of Zhejiang University
  • University of California, Davis
  • Carleton University
  • Creighton University
  • Free University of Berlin
  • University of Texas at Austin
  • Arkansas Integrative Metabolic Research Center
  • Winthrop P. Rockefeller Cancer Institute
  • Georgetown University
  • University of Southern California
  • USC Norris Comprehensive Cancer Center
  • Department of Bioengineering
  • University of California at Irvine
  • University of Alberta

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

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.

langue originaleAnglais
Numéro d'articleS23901
journalJournal of Biomedical Optics
Volume30
Les DOIs
étatPublié - 1 févr. 2025

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