Robust autofocusing in microscopy using particle swarm optimization

Issam M. Bahadur, James K. Mills

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 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 languageEnglish
Title of host publication2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
Pages213-218
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 - Takamastu, Japan
Duration: Aug 4 2013Aug 7 2013

Other

Other2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
CountryJapan
CityTakamastu
Period8/4/138/7/13

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Keywords

  • Autofocus
  • embryo
  • image sharpness
  • microscopy
  • Particle swarms

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Bahadur, I. M., & Mills, J. K. (2013). Robust autofocusing in microscopy using particle swarm optimization. In 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 (pp. 213-218). [6617920] https://doi.org/10.1109/ICMA.2013.6617920