Robust autofocusing in microscopy using particle swarm optimization

Issam M. Bahadur; James K. Mills

doi:10.1109/ICMA.2013.6617920

Robust autofocusing in microscopy using particle swarm optimization

Issam M. Bahadur, James K. Mills

Mechanical and Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

An autofocusing procedure is routinely performed under a microscope to maintain micro-objects within the depth of field of an objective lens. The aim of this procedure is to search for an optimum image with sharp edges of the outlines and features of the micro-objects by tuning the position of the objective lens. This paper describes a new robust autofocusing search algorithm based on bare-bones particle swarm optimization (BBPSO). The proposed search algorithm has been validated experimentally using sharpness analysis based on image variance.

Original language	English
Title of host publication	2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
Pages	213-218
Number of pages	6
DOIs	https://doi.org/10.1109/ICMA.2013.6617920
Publication status	Published - 2013
Event	2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 - Takamastu, Japan Duration: Aug 4 2013 → Aug 7 2013

Other

Other	2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
Country	Japan
City	Takamastu
Period	8/4/13 → 8/7/13

Keywords

Autofocus
embryo
image sharpness
microscopy
Particle swarms

ASJC Scopus subject areas

Artificial Intelligence
Electrical and Electronic Engineering
Mechanical Engineering

Access to Document

10.1109/ICMA.2013.6617920

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