Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/19675
標題: 間接免疫螢光顯影細胞影像切割、計數與辨識
An Automatic Indirect Immunofluorescence-Based Cell Segmentation, Counting and Recognition
作者: 陳榮泰
Chen, Rong-Tai
關鍵字: cell counting
細胞計數
fluorescence microscope
image segmentation
indirect immunofluorescence
螢光顯微鏡
影像切割
抗核抗體形態識別
出版社: 資訊科學與工程學系所
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摘要: 利用間接免疫螢光法於HEp-2細胞,是免疫風濕科用來檢查自身免疫疾病之抗核抗體的主要方式。其主要可以檢測廣泛的自身抗體,並且利用不同的螢光樣式來表示,若能在間接免疫螢光顯影中自動檢測螢光樣式,即可幫助醫生與無相關經驗之操作者作出正確的診斷。因此,要如何在間接免疫螢光顯影上進行細胞切割,即為開發自動化抗核抗體檢測系統的關鍵。因此,本研究著重於細胞偵測、定位與識別,且提出了一個能夠有效地在間接免疫螢光顯影上自動偵測細胞螢光樣式的方法。細胞培養是一種技術,意旨細胞在受控制的狀態下使其生長,而細胞計數技術除了在培養罐中的衡量細胞密度之實驗扮演著重要的角色,如培養基適應性評估、細胞群體培增時間之決定和細胞生長監控等都需要量化細胞的數目。本論文提出一個間接免疫螢光顯影細胞影像自動切割與計數(AIICSC)系統,針對螢光顯微鏡下所拍攝的細胞影像進行細胞切割與計數。另外,也提出一識別技術,以針對被切割出後的抗核抗體細胞辨識其所屬類型。
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 to scan a broad range of autoantibody entities and to describe them by distinct fluorescence patterns. Automatic inspection for fluorescence patterns in 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 location, segmentation, and recognition. In this paper, 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. This paper provides an automatic indirect immunofluorescence based cell segmentation and counting (AIICSC) system to segment and count the cells from an image taken under a fluorescence microscope. Moreover, in this paper, a recognition method is proposed to recognize the HEp-2 cells cut off from an IIF image.
URI: http://hdl.handle.net/11455/19675
其他識別: U0005-0807201017182800
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0807201017182800
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