Modular Custom-Made Whole Slide Imaging via Contrast-Autofocusing

This research presents the design and implementation of a custom-made whole slide imaging system utilizing contrast-based autofocusing. The system is modeled after a traditional light microscope but incorporates 3D-printed components to enhance modularity. The autofocusing mechanism adjusts based on the contrast value of the captured images, ensuring precise focus. The system is controlled via a Python application, offering flexibility and allowing for extensive software customization. ImageJ software is employed to acquire and analyze data, providing researchers with robust and adaptable tools for various applications. The implications of this research are significant, offering a low-cost, highly flexible alternative to conventional whole-slide imaging systems, thereby enabling researchers to conduct a wide range of investigations with increased precision and ease.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/bmeicon64021.2024.10896321
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Modular Custom-Made Whole Slide Imaging via Contrast-Autofocusing

Parawee Tangkiatphaibun, Wibool Piyawattanameth, Pasin Suttikittipong, Sakwaroon Phuenphol et al.
Image Processing Techniques and Applications
article

Modular Custom-Made Whole Slide Imaging via Contrast-Autofocusing

Parawee Tangkiatphaibun, Wibool Piyawattanameth, Pasin Suttikittipong, Sakwaroon Phuenphol, Aaron Piyawattanametha
article en

Abstract

This research presents the design and implementation of a custom-made whole slide imaging system utilizing contrast-based autofocusing. The system is modeled after a traditional light microscope but incorporates 3D-printed components to enhance modularity. The autofocusing mechanism adjusts based on the contrast value of the captured images, ensuring precise focus. The system is controlled via a Python application, offering flexibility and allowing for extensive software customization. ImageJ software is employed to acquire and analyze data, providing researchers with robust and adaptable tools for various applications. The implications of this research are significant, offering a low-cost, highly flexible alternative to conventional whole-slide imaging systems, thereby enabling researchers to conduct a wide range of investigations with increased precision and ease.

King Mongkut's Institute of Technology Ladkrabang (TH)
National Research Council of Thailand
Openalex Percentile: Top 60%
Image Processing Techniques and Applications
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Modular Custom-Made Whole Slide Imaging via Contrast-Autofocusing — Parawee Tangkiatphaibun, Wibool Piyawattanameth, et al. · (2024) | TGRS Research Map | TGRS