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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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An automatic whole-slide hyperspectral imaging microscope.

Minh Ha Tran1,2, Ofelia Gomez1,2, Baowei Fei1,2,3

  • 1The Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.

Proceedings of Spie--The International Society for Optical Engineering
|March 14, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed an automated hyperspectral whole slide imaging (HWSI) system for digitized pathology slides. This robust, modular microscope enables efficient data acquisition for computer-aided diagnosis and biological research.

Keywords:
Hyperspectral imagingautomationdatabasedeep learningwhole-slide imaging

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Area of Science:

  • Digital pathology
  • Medical imaging
  • Histopathology

Background:

  • Whole slide imaging (WSI) digitizes histological slides for improved efficiency and computer-aided diagnosis.
  • Hyperspectral imaging (HSI) captures data across a wide range of wavelengths, including beyond the visible spectrum.

Purpose of the Study:

  • To develop and implement an automated microscopy system for acquiring hyperspectral whole slide images (HWSI).
  • To create a robust and modular system for HWSI acquisition.

Main Methods:

  • Development of an automated microscopy system capable of HWSI acquisition.
  • Utilization of modular components from various manufacturers for system robustness.
  • Creation of a database comprising 49 HWSI of thyroid cancer.

Main Results:

  • Successful development and implementation of an automated HWSI microscopy system.
  • Demonstration of system robustness through modular design.
  • Establishment of a HWSI database for thyroid cancer.

Conclusions:

  • The automated whole-slide hyperspectral imaging microscope is a robust system with potential applications in biological and medical research.
  • This technology facilitates advanced digital pathology and computer-aided diagnosis.
  • The developed system enables efficient acquisition of hyperspectral data from large tissue samples.