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Related Experiment Video

Updated: May 14, 2026

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells
12:48

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

Published on: February 16, 2018

Real time blood testing using quantitative phase imaging.

Hoa V Pham1, Basanta Bhaduri, Krishnarao Tangella

  • 1Quantitative Light Imaging Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America. hoapham2@illinois.edu

Plos One
|February 14, 2013
PubMed
Summary
This summary is machine-generated.

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This study introduces a real-time blood testing system using advanced imaging and computing for remote diagnosis in underserved regions. The novel digital hematology instrument provides detailed red blood cell analysis, enabling accessible healthcare.

Area of Science:

  • Biomedical Engineering
  • Optical Imaging
  • Computational Biology

Background:

  • Current clinical instruments lack nanoscale sensitivity for detailed red blood cell morphology.
  • Remote and accessible blood testing is crucial for economically challenged areas.

Purpose of the Study:

  • To develop a real-time blood testing system for remote diagnosis with minimal human intervention.
  • To leverage quantitative phase imaging and parallel computing for advanced cellular analysis.

Main Methods:

  • Utilized quantitative phase imaging for nanoscale red blood cell morphology extraction.
  • Employed NVIDIA's CUDA for real-time, cellular-level analysis at 40 frames/s.
  • Measured diagnostic parameters like surface area, sphericity, and minimum cylindrical diameter.

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Blood Flow Imaging with Ultrafast Doppler
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Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Related Experiment Videos

Last Updated: May 14, 2026

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells
12:48

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

Published on: February 16, 2018

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows
07:53

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

Published on: April 25, 2013

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Main Results:

  • The system accurately segmented and analyzed all cells within a one-megapixel field of view.
  • Demonstrated excellent agreement with cell counter results for red blood cell volume distribution in various anemia types.
  • Generated morphological parameter data in kilobytes for efficient remote transmission.

Conclusions:

  • The developed system offers novel diagnostic parameters beyond current clinical capabilities.
  • Enables remote transmission of blood test data via cellular networks, increasing healthcare access.
  • Paves the way for a future of digital hematology and improved diagnostics.