Browsing by Author "Mang, Ou-Yang"

Now showing 1 - 4 of 4

Analyze fluorescent characteristic of cancer cell using hyperspectroscopic imaging system (HIS)
(2012-01-01)
Hsieh, Yao-Fang
;
Chen, Chih-Hsien
;
Mang, Ou-Yang
;
Duann, Jeng-Ren
;
Chiou, Jin-Chern
Currently, the cancer was examined by diagnosing the pathological changes of tumor. If the examination of cancer can diagnose the tumor before the cell occur the pathological changes, the cure rate of cancer will increase. This research develops a human-machine interface for hyper-spectral microscope. The hyper-spectral microscope can scan the specific area of cell and records the data of spectrum and intensity. These data is helpful to diagnose tumor. This study finds the hyper-spectral imaging have two higher intensity points at 550nm and 700nm, and one lower point at 640nm between the two higher points. For analyzing the hyper-spectral imaging, the intensity at the 550nm peak divided by the intensity at 700nm peak. Finally, we determine the accuracy of detection by Gaussian distribution. The accuracy of detecting normal cells achieves 89%, and the accuracy of cancer cells achieves 81%.
Estimation of spectral radiance on a tristimulus color sensor system illuminated under two light sources
(2015-01-01)
Mang, Ou-Yang
;
Hsieh, Yao-Fang
;
Lee, Cheng-Chung
;
電機資訊學士班
;
Undergraduate Honors Program of Electrical Engineering and Computer Science
The tristimulus color sensor system, a trichromatic camera, is developed to estimate the spectral radiance of objects. However, since the spectral sensitivity of the system does not match the Commission International de l\'Eclairage (CIE) 1931 color matching function, it yields inaccurate colorimetric and spectral information. This work proposes methods using two light sources for estimating accurate spectral radiance and verifies that the accuracy achieved using these two illuminant methods exceeds that achieved using single illuminant methods. The two illuminant methods successfully reduce the mean color difference in CIELAB from 31.24 to 0.8 and provide a spectral accuracy of 0.0103. Furthermore, a tristimulus color sensor system is developed to verify the performance of these methods. (C) 2015 Elsevier GmbH. All rights reserved.
LED Induced Autofluorescence (LIAF) Imager with eight multi-filters for Oral Cancer Diagnosis
(2016-01-01)
Huang, Ting-Wei
;
Cheng, Nai-Lun
;
Tsai, Ming-Hsui
;
Chiou, Jin-Chern
;
Mang, Ou-Yang
Oral cancer is one of the serious and growing problem in many developing and developed countries. The simple oral visual screening by clinician can reduce 37,000 oral cancer deaths annually worldwide. However, the conventional oral examination with the visual inspection and the palpation of oral lesions is not an objective and reliable approach for oral cancer diagnosis, and it may cause the delayed hospital treatment for the patients of oral cancer or leads to the oral cancer out of control in the late stage. Therefore, a device for oral cancer detection are developed for early diagnosis and treatment. A portable LED Induced autofluorescence (LIAF) imager is developed by our group. It contained the multiple wavelength of LED excitation light and the rotary filter ring of eight channels to capture ex-vivo oral tissue autofluorescence images. The advantages of LIAF imager compared to other devices for oral cancer diagnosis are that LIAF imager has a probe of L shape for fixing the object distance, protecting the effect of ambient light, and observing the blind spot in the deep port between the gumsgingiva and the lining of the mouth. Besides, the multiple excitation of LED light source can induce multiple autofluorescence, and LIAF imager with the rotary filter ring of eight channels can detect the spectral images of multiple narrow bands. The prototype of a portable LIAF imager is applied in the clinical trials for some cases in Taiwan, and the images of the clinical trial with the specific excitation show the significant differences between normal tissue and oral tissue under these cases.
The new hyperspectral microscopic system for cancer diagnosis
(2011-01-01)
Hsieh, Yao-Fang
;
Mang, Ou-Yang
;
Chiou, Jin-Chern
;
Lin, Yung-Jiun
;
Tsai, Ming-Hsui
Until now, the cancer was examined by diagnosing the pathological changes of tumor. If the examination of cancer can diagnose the tumor before the cell occur the pathological changes, the cure rate of cancer will increase. This research develops a human-machine interface for hyper-spectral microscope. The hyper-spectral microscope can scan the specific area of cell and records the data of spectrum and intensity. These data is helpful to diagnose tumor. This research aims to develop a new system and a human-machine interface to control the hyper-spectral microscope. The interface can control the moving speed of motor, the exposure-time of hyper-spectrum, real-time focus, image of fluorescence, and record the data of spectral intensity and position.