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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

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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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MicroHikari3D: an automated DIY digital microscopy platform with deep learning capabilities.

J Salido1, P T Toledano1, N Vallez1

  • 1VISILAB Group, Universidad de Castilla-La Mancha, 13005 Ciudad Real, Spain.

Biomedical Optics Express
|December 3, 2021
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Summary
This summary is machine-generated.

This study introduces MicroHikari3D, an affordable, customizable 3D optical microscopy platform. It offers automated features and deep learning for biosciences and quality labs on a budget.

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Area of Science:

  • Biotechnology
  • Microscopy
  • Optical Engineering

Background:

  • Microscopes are vital in biosciences and quality control.
  • Budget constraints often limit access to advanced microscopy tools.
  • There is a need for flexible, high-quality, and affordable microscopy solutions.

Purpose of the Study:

  • To develop MicroHikari3D, a low-cost, DIY optical microscopy platform.
  • To enable automated sample positioning, autofocus, and diverse illumination.
  • To provide a customizable tool for 2D slide imaging and 3D live specimen observation.

Main Methods:

  • Utilized an entry-level 3D printer kit (Tronxy X1) for motion control.
  • Implemented a Raspberry Pi 4 server for system control and data processing.
  • Developed a client mobile application for image acquisition and deep learning-based classification.

Main Results:

  • Successfully developed an affordable and customizable optical microscopy platform.
  • Integrated automated sample positioning, autofocus, and multiple illumination modes.
  • Demonstrated the capability for 2D slide imaging and 3D live specimen observation.
  • Enabled real-time image acquisition, processing, and high-level classification using deep learning.

Conclusions:

  • MicroHikari3D offers a flexible, high-quality microscopy solution for budget-limited laboratories.
  • The DIY approach democratizes access to advanced imaging and analysis.
  • The platform supports diverse applications in biosciences and production quality control.