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Imaging Biological Samples with Optical Microscopy

Imaging Biological Samples with Optical Microscopy

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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Related Experiment Video

Updated: Jun 3, 2025

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

Automatic Optical Path Alignment Method for Optical Biological Microscope.

Guojin Peng^1,2, Zhenming Yu², Xinjian Zhou²

¹Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin 541004, China.

Sensors (Basel, Switzerland)

|January 11, 2025

Summary

This summary is machine-generated.

This study presents a new image-sensor-based method for aligning optical biological microscopes (OBMs), improving image quality without complex maskers. The technique accurately identifies objectives and refines alignment for better performance.

Keywords:

alignment evaluation biological microscope objective identification optical path alignment weighted circle fitting

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Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering

Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering

Published on: July 6, 2019

Area of Science:

Optical engineering
Biomedical imaging technology
Microscopy systems

Background:

High-quality optical path alignment is crucial for superior image quality in optical biological microscopes (OBMs).
Traditional automatic alignment methods often depend on complex masker-detection techniques.
Existing methods may lack efficiency and precision for low-power objectives.

Purpose of the Study:

To introduce an innovative, image-sensor-based optical path alignment approach for low-power (4×) automatic OBMs.
To develop a robust method for reference objective (RO) identification and alignment.
To enhance alignment precision and evaluation beyond conventional techniques.

Main Methods:

Developed a model of spot movement during objective rotation to understand optical path parameter influence.
Proposed an RO identification method using edge gradient and edge position probability.
Introduced a symmetry-based weight distribution for concentric arcs in alignment.
Designed an advanced alignment evaluation method based on critical saturation positions.

Main Results:

The RO identification method successfully differentiated 4× and 10× objectives under varied lighting and exposure.
The weighted circular fitting method achieved an error-radius ratio below 1.16%.
The fine alignment stage exhibited a sharper evaluation curve.
The alignment estimation method demonstrated an average error of 0.875 pixels in saturated environments.

Conclusions:

The proposed image-sensor-based method offers an effective and precise alternative for OBM optical path alignment.
The novel RO identification and alignment evaluation techniques improve accuracy and robustness.
This approach is suitable for low-power automatic OBMs, enhancing overall system performance.