Jian Liu, Zhenlong Xu, Ziyi Wang, Xiaoyu You, Chenguang Liu
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引用次数: 0
Abstract
The axial positioning accuracy in confocal microscopy measurements is determined by the peak extraction algorithm of the intensity response curve. Existing peak extraction algorithms struggle to balance solution precision and computational efficiency, making it difficult to achieve online measurement. This paper proposes a fast Gaussian fitting method that transforms the nonlinear iterative fitting problem into a linear solution problem through Gaussian function linearisation, significantly improving computational efficiency. Experimental validation shows that the difference in solution accuracy between the fast Gaussian method and the traditional fitting method is no more than 3 nm, with a computational efficiency increasing at least 144 times.
期刊介绍：
The Journal of Microscopy is the oldest journal dedicated to the science of microscopy and the only peer-reviewed publication of the Royal Microscopical Society. It publishes papers that report on the very latest developments in microscopy such as advances in microscopy techniques or novel areas of application. The Journal does not seek to publish routine applications of microscopy or specimen preparation even though the submission may otherwise have a high scientific merit.
The scope covers research in the physical and biological sciences and covers imaging methods using light, electrons, X-rays and other radiations as well as atomic force and near field techniques. Interdisciplinary research is welcome. Papers pertaining to microscopy are also welcomed on optical theory, spectroscopy, novel specimen preparation and manipulation methods and image recording, processing and analysis including dynamic analysis of living specimens.
Publication types include full papers, hot topic fast tracked communications and review articles. Authors considering submitting a review article should contact the editorial office first.
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