An Automatic Indirect Immunofluorescence Cell Segmentation System

Joint Authors

Jiang, Xiaoyi
Huang, Der-Chen
Chan, Yung-Kuan
Liu, Kuo-Ching
Chen, Rong-Tai

Source

Mathematical Problems in Engineering

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-05-22

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Civil Engineering

Abstract EN

Indirect immunofluorescence (IIF) with HEp-2 cells has been used for the detection of antinuclear autoantibodies (ANA) in systemic autoimmune diseases.

The ANA testing allows us to scan a broad range of autoantibody entities and to describe them by distinct fluorescence patterns.

Automatic inspection for fluorescence patterns in an IIF image can assist physicians, without relevant experience, in making correct diagnosis.

How to segment the cells from an IIF image is essential in developing an automatic inspection system for ANA testing.

This paper focuses on the cell detection and segmentation; an efficient method is proposed for automatically detecting the cells with fluorescence pattern in an IIF image.

Cell culture is a process in which cells grow under control.

Cell counting technology plays an important role in measuring the cell density in a culture tank.

Moreover, assessing medium suitability, determining population doubling times, and monitoring cell growth in cultures all require a means of quantifying cell population.

The proposed method also can be used to count the cells from an image taken under a fluorescence microscope.

American Psychological Association (APA)

Chan, Yung-Kuan& Huang, Der-Chen& Liu, Kuo-Ching& Chen, Rong-Tai& Jiang, Xiaoyi. 2014. An Automatic Indirect Immunofluorescence Cell Segmentation System. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-476553

Modern Language Association (MLA)

Chan, Yung-Kuan…[et al.]. An Automatic Indirect Immunofluorescence Cell Segmentation System. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-476553

American Medical Association (AMA)

Chan, Yung-Kuan& Huang, Der-Chen& Liu, Kuo-Ching& Chen, Rong-Tai& Jiang, Xiaoyi. An Automatic Indirect Immunofluorescence Cell Segmentation System. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-476553

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-476553