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Real-time processing of high-throughput quantitative phase microscopy data using a Jetson Orin Nano.

Wan Wang1, Robert E Highland1, Justin Fan1

  • 1Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States.

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Summary
This summary is machine-generated.

This study introduces a novel system-on-module approach for quantitative phase microscopy (QPM) data processing. The developed pipeline significantly accelerates cell analysis, enabling high-throughput imaging for clinical applications.

Keywords:
digital refocusinghigh-throughputholographic cytometryquantitative phase microscopyreal-time processing

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Area of Science:

  • Biomedical Optics
  • Computational Imaging
  • Cell Biology

Background:

  • Quantitative Phase Microscopy (QPM) is crucial for cell morphology studies.
  • High-throughput QPM is needed for clinical applications, requiring faster data processing.
  • Current QPM methods face challenges in processing large datasets efficiently.

Purpose of the Study:

  • To develop a high-throughput data processing pipeline for Quantitative Phase Microscopy (QPM).
  • To leverage a system-on-module approach for real-time QPM data processing.
  • To accelerate the analysis of cell populations using holographic cytometry (HC).

Main Methods:

  • Developed a real-time processing pipeline using NVIDIA Jetson Orin Nano for parallel processing.
  • Implemented a CUDA algorithm for QPM data generation, phase unwrapping, cell segmentation, and refocusing.
  • Demonstrated the pipeline on a holographic cytometry (HC) system for high-throughput QPM.

Main Results:

  • Processed over 107,000 red blood cell images.
  • Achieved a processing speed of 1200 cells/second.
  • Real-time refocusing demonstrated high structural similarity to traditional methods.

Conclusions:

  • The developed pipeline accelerates statistical analysis of cell populations.
  • This advancement supports the development of portable, low-cost holographic cytometry systems.
  • The study paves the way for more efficient clinical applications of QPM.