An Automatic Indirect Immunofluorescence Cell Segmentation System

المؤلفون المشاركون

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

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-05-22

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-476553