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Related Experiment Video

Updated: Mar 16, 2026

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells
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Quantitative phase imaging for medical diagnosis.

Hassaan Majeed1, Shamira Sridharan2, Mustafa Mir3

  • 1Quantitative Light Imaging Lab, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, 405 N. Mathews Ave., Urbana, IL, 61801, USA.

Journal of Biophotonics
|August 20, 2016
PubMed
Summary

Quantitative Phase Imaging (QPI) offers a label-free, objective method for disease diagnosis, overcoming the subjectivity and limitations of conventional optical microscopy in pathology and hematology.

Keywords:
cancer diagnosishematological disordersinterferometrylabel free imagingmicroscopypathologyquantitative phase imaging

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Area of Science:

  • Biomedical Optics
  • Medical Diagnostics
  • Pathology

Background:

  • Optical microscopy is crucial for healthcare diagnostics, particularly in pathology for tissue morphology analysis.
  • Current light microscopy interpretation is subjective, causing observer variability and limiting diagnostic workflow automation.
  • Conventional microscopy captures qualitative data, hindering high-throughput diagnostic processes.

Purpose of the Study:

  • To review advances in disease diagnosis using Quantitative Phase Imaging (QPI) techniques.
  • To highlight QPI's potential to overcome limitations of conventional optical microscopy in clinical diagnostics.
  • To focus on QPI applications in hematological diagnosis and cancer pathology.

Main Methods:

  • Review of recent advancements in Quantitative Phase Imaging (QPI) technologies.
  • Analysis of QPI's application in disease diagnosis, focusing on specific medical fields.
  • Emphasis on label-free and quantitative data acquisition by QPI systems.

Main Results:

  • QPI techniques provide quantitative physical parameters of cells and tissues, removing diagnostic subjectivity.
  • QPI enables easier automation of diagnostic processes, increasing throughput.
  • QPI is label-free and integrates seamlessly into existing clinical workflows.

Conclusions:

  • QPI represents a significant advancement for objective and efficient disease diagnosis.
  • The technology shows particular promise in hematological and cancer pathology diagnostics.
  • QPI facilitates higher throughput and more reliable diagnostic outcomes compared to conventional methods.