@inproceedings{d91fc3d793b74cfa81c385e297fbd90a,
title = "An autofocus algorithm for microscopic hyperspectral imaging system with adaptive wavelength variation",
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.",
keywords = "Autofocus, Large scale imaging, Microscopic hyperspectral imaging, Pathology, Self-adaptive focusing",
author = "Xingyu Sun and Yan Wang and Qingli Li",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 14th International Conference on Bioinformatics and Biomedical Technology, ICBBT 2022 ; Conference date: 27-05-2022 Through 29-05-2022",
year = "2022",
month = may,
day = "27",
doi = "10.1145/3543377.3543380",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "15--19",
booktitle = "ICBBT 2022 - Proceedings of 2022 14th International Conference on Bioinformatics and Biomedical Technology",
address = "美国",
}