Fast autofocus method for piezoelectric microscopy system for high interaction scenes
Authors:
- 8 May 2023
- journal article
- research article
- Published by Wiley in Microscopy Research and Technique
- Vol. 86 (7) , 773-780
Abstract
Piezoelectric objective driver positioners are increasingly used in the field of microscopy. They have the advantages of high dynamic and fast response. This paper presents a fast autofocus algorithm for highly interactive microscope system. First, the Tenengrad gradient of the down‐sampled image is used to calculate the image sharpness, and Brent search method is adopted to quickly converge to the correct focal length. At the same time, the input shaping method is used to eliminate the displacement vibration of the piezoelectric objective lens driver and further accelerate the image acquisition speed. Experimental results show that the proposed scheme can improve the speed of the automatic focusing task of the piezoelectric objective driver and improve the real‐time focus of the automatic microscopic system.Highlights: A high real‐time autofocus strategy. A vibration control method suitable for a piezoelectric objective driver.Keywords
Funding Information
- National Natural Science Foundation of China (52175541)
This publication has 12 references indexed in Scilit:
- Piezoelectric Actuators and Motors: Materials, Designs, and ApplicationsAdvanced Materials Technologies, 2019
- Improved autofocus method for human red blood cell imagesApplied Optics, 2019
- A fast autofocus sharpness function of microvision system based on the Robert function and Gauss fittingMicroscopy Research and Technique, 2017
- Region sampling for robust and rapid autofocus in microscopeMicroscopy Research and Technique, 2015
- Modeling and Control of Piezo-Actuated Nanopositioning Stages: A SurveyIEEE Transactions on Automation Science and Engineering, 2014
- Kinetic study of a novel trans-scale precision positioning stage based on stick-slip effect2011
- Autofocus methods of whole slide imaging systems and the introduction of a second-generation independent dual sensor scanning methodJournal of Pathology Informatics, 2011
- A passive auto-focus camera control systemApplied Soft Computing, 2010
- Construction and evaluation of a wavelet‐based focus measure for microscopy imagingMicroscopy Research and Technique, 2007
- Autofocusing in computer microscopy: Selecting the optimal focus algorithmMicroscopy Research and Technique, 2004