| Summary: | 碩士 === 中原大學 === 生物醫學工程研究所 === 98 === The cell physiology shows the mitochondria shapes are in 3-D network. tubules or small globules. Mitochondrial morphological stability is accomplished by continuous fusion and fission to maintain their energy supply function. Defects in above processes will lead to mitochondria variations in morphology and loss of function. Therefore, understanding mitochondrial morphological changes shall be important to new drugs screen and reaction mechanism.
The aim of this research is to establish an automated morphology analysis system for observing the mitochondria apoptosis after specific drug reaction. Firstly, an adaptive local threshold program, named Micro-P, is utilized to identify images whether contain fragmented globules or networks predominantly. These two groups of images were further processed by a dual-threshold morphological filter to segment the large and small objects in the cell images. The eccentricity, roundness, and aspect ratio of the objects were extracted as the classification features. At last, the K-Means cluster classification paradigm is used to distinguish the morphological subtypes.
Eighty three images that contain 169 cells are used to test the system performance. The cells include the control, WT-mfn2, DN-mfn2 and Fis-1, four groups. Totally, 15774 mitochondria in these cells are classified, and the contents of mitochondrial morphological subtypes in individual cells are measured. The statistical results shown the system yield average 82.25% correctness. This indicated that the system is capable to assist researcher in mitochondrial subtype classification and , hence, to shorten the new drug development timeline.
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