An autofocus algorithm for microscopic hyperspectral imaging system with adaptive wavelength variation
Authors: 
Xingyu Sun, Yan Wang, Qingli LiAuthors Info & Claims
Xingyu Sun, Yan Wang, Qingli LiAuthors Info & ClaimsPages 15 - 19
Abstract
Microscopic hyperspectral imaging techniques have been widely used to analyze information from digital pathology sections. Real-time autofocusing is one of the important techniques to acquire high-quality images efficiently; however, there are few autofocusing algorithms are proposed in this field. Therefore, this article proposes an autofocus algorithm for a self-developed microscopic hyperspectral imaging system. This method can finish autofocus with a single field of view in 0.9 seconds. In addition, to reduce the focusing time, we fit a wavelength as a function of focal length. We applied the above method on our own dataset and the experimental results show that this method can acquire large-scale microscopic hyperspectral images quickly and accurately.
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- An autofocus algorithm for microscopic hyperspectral imaging system with adaptive wavelength variation
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Published In
May 2022
190 pages
ISBN:9781450396387
DOI:10.1145/3543377
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Association for Computing Machinery
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Published: 08 August 2022
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- Research-article
- Research
- Refereed limited
Funding Sources
- Shanghai Natural Science Foundation
- Science and Technology Com-mission of Shanghai Municipality
- National Natural Science Foundation of China
Conference
ICBBT 2022
ICBBT 2022: 2022 14th International Conference on Bioinformatics and Biomedical Technology
May 27 - 29, 2022
Xi'an, China
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