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

7 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/Territory	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

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10.1109/ICMA.2013.6617920

Cite this

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title = "Robust autofocusing in microscopy using particle swarm optimization",

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.",

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language = "English",

isbn = "9781467355582",

pages = "213--218",

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note = "2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 ; Conference date: 04-08-2013 Through 07-08-2013",

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AU - Mills, James K.

PY - 2013

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N2 - 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.

AB - 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.

KW - Autofocus

KW - embryo

KW - image sharpness

KW - microscopy

KW - Particle swarms

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DO - 10.1109/ICMA.2013.6617920

M3 - Conference contribution

AN - SCOPUS:84887895584

SN - 9781467355582

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EP - 218

BT - 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013

T2 - 2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013

Y2 - 4 August 2013 through 7 August 2013

ER -

Robust autofocusing in microscopy using particle swarm optimization

Abstract

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Keywords

ASJC Scopus subject areas

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