Detecting and tracking multiple fluorescence spot in noisy DXT image sequence

Reo Sakakura; Yoshimitsu Aoki; Keishi Shimizu; Shigetoshi Oiki

Detecting and tracking multiple fluorescence spot in noisy DXT image sequence

Reo Sakakura, Yoshimitsu Aoki, Keishi Shimizu, Shigetoshi Oiki

Department of Electronics and Electrical Engineering

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

Abstract

Quantitative analysis of molecular structural change by means of Diffracted X-ray tracking (DXT) method requires tracking of dozens of bright spots in noisy image sequence. As the observation equipment upgrades, experimental data was cannot be analyzed manually with sufficient speed and accuracy. We propose automatic analysis method combining background estimation and frame-by-frame matching. We applied propose method to real DXT image data acquired for potassium ion channel structural changing analysis for evaluation. The result of experiments show that the method has high accuracy and be able to replace manual analysis.

Original language	English
Title of host publication	Proceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers
Publisher	Society of Instrument and Control Engineers (SICE)
Pages	96-98
Number of pages	3
ISBN (Print)	9784907764364
Publication status	Published - 2010

Publication series

Name	Proceedings of the SICE Annual Conference

Keywords

Background etimation
Component
Fluorescence image sequence
Kernel density estimation
Multiple object tracking
Occurrence probability

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Cite this

Detecting and tracking multiple fluorescence spot in noisy DXT image sequence. / Sakakura, Reo; Aoki, Yoshimitsu; Shimizu, Keishi et al.

Proceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers. Society of Instrument and Control Engineers (SICE), 2010. p. 96-98 5602418 (Proceedings of the SICE Annual Conference).

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

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abstract = "Quantitative analysis of molecular structural change by means of Diffracted X-ray tracking (DXT) method requires tracking of dozens of bright spots in noisy image sequence. As the observation equipment upgrades, experimental data was cannot be analyzed manually with sufficient speed and accuracy. We propose automatic analysis method combining background estimation and frame-by-frame matching. We applied propose method to real DXT image data acquired for potassium ion channel structural changing analysis for evaluation. The result of experiments show that the method has high accuracy and be able to replace manual analysis.",

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AU - Sakakura, Reo

AU - Aoki, Yoshimitsu

AU - Shimizu, Keishi

AU - Oiki, Shigetoshi

PY - 2010

Y1 - 2010

N2 - Quantitative analysis of molecular structural change by means of Diffracted X-ray tracking (DXT) method requires tracking of dozens of bright spots in noisy image sequence. As the observation equipment upgrades, experimental data was cannot be analyzed manually with sufficient speed and accuracy. We propose automatic analysis method combining background estimation and frame-by-frame matching. We applied propose method to real DXT image data acquired for potassium ion channel structural changing analysis for evaluation. The result of experiments show that the method has high accuracy and be able to replace manual analysis.

AB - Quantitative analysis of molecular structural change by means of Diffracted X-ray tracking (DXT) method requires tracking of dozens of bright spots in noisy image sequence. As the observation equipment upgrades, experimental data was cannot be analyzed manually with sufficient speed and accuracy. We propose automatic analysis method combining background estimation and frame-by-frame matching. We applied propose method to real DXT image data acquired for potassium ion channel structural changing analysis for evaluation. The result of experiments show that the method has high accuracy and be able to replace manual analysis.

KW - Background etimation

KW - Component

KW - Fluorescence image sequence

KW - Kernel density estimation

KW - Multiple object tracking

KW - Occurrence probability

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M3 - Conference contribution

AN - SCOPUS:78649252087

SN - 9784907764364

T3 - Proceedings of the SICE Annual Conference

SP - 96

EP - 98

BT - Proceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers

PB - Society of Instrument and Control Engineers (SICE)

ER -

Detecting and tracking multiple fluorescence spot in noisy DXT image sequence

Abstract

Publication series

Keywords

ASJC Scopus subject areas

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