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Publications

Journal Article Review Research Support, U.S. Gov't, Non-P.H.S. Research Support, N.I.H., Extramural Ppublish

PubMed: 39711795 DOI: 10.1117/1.JBO.29.S2.S22717

To label or not: the need for validation in label-free imaging.

J Biomed Opt 29(Suppl 2):S22717

Authors: Joseph M Szulczewski, Filiz Yesilkoy, Tyler K Ulland, Randy Bartels, Bryan A Millis, Stephen A Boppart, Kevin W Eliceiri

Affiliations

  • University of North Carolina-Chapel Hill, Department of Pharmacology, Chapel Hill, North Carolina, United States.
  • University of Wisconsin-Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States.
  • University of Wisconsin-Madison, Department of Pathology and Laboratory Medicine, Madison, Wisconsin, United States.
  • Morgridge Institute for Research, Madison, Wisconsin, United States.
  • Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States.
  • Vanderbilt University, Vanderbilt Biophotonics Center, Nashville, Tennessee, United States.
  • University of Illinois Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States.
  • University of Wisconsin-Madison, Department of Medical Physics, Madison, Wisconsin, United States.

Abstract

Significance

Advances in label-free imaging have impacted many areas of biological and biomedical imaging ranging from cell biology and cancer to pathology and neuroscience. Despite the great progress and advantages of these methods, it is clear that to realize their full potential, validation by extrinsic labels and probes is critically needed.

Aim

This perspective calls for developing and applying innovative labels and probes to validate both existing and emerging label-free imaging methods.

Approach

Major representative types of label-free imaging methods are briefly presented discussing their advantages and differing contrasts. Their biological applications are also reviewed with a focus on how validation of label-free methods with carefully developed labeling approaches will greatly aid in further intrinsic contrast imaging adoption and likely lead to more sophisticated image-based biomarkers and a better understanding of the underlying signals.

Conclusions

Expanded efforts in extrinsic label validation will significantly push forward the utilization and adoption of label-free methods both in basic research and clinical models.

MeSH

Biomedical Engineering, Biomedical Technology