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Taoyuan City, Taiwan

Wu C.,National Chiao Tung University | Ko F.,National Chiao Tung University | Wu C.,Taipei Medical University | Pan T.,Changgung University | And 2 more authors.
IFMBE Proceedings | Year: 2011

A silicon nanobelt field effect transistor (SiNBFET) device was proposed as an alternating platform of ultrasensitive biosensor, and apply to the label-free detection and early diagnosis of the prostate specific antigen (PSA). The designed SiNB-FET molecule sensor demonstrated real-time, label-free, and high-selective properties in detecting biomolecules. The novel back-gate SiNB-FET was fabricated by using the state-of-the-art complementary metal oxide semiconductor (CMOS) manufacturing technology. The shrank nanobelt structure with high surface-to-volume ratio and individual back-gate controlling was achieved by the local-oxidation of silicon (LOCOS) process. The probe molecule was sequentially immobilized onto the device surface for the purpose of target molecule sensing. Those molecules bearing with charge characteristics significantly influenced the charge carrier in the device channel. Hence, the target PSA can be easily detected from the shift of device's electrical property. In this research, the operating condition of device's gate controlling voltage was carefully studied. In addition, the molecular amplification method was developed to enhance the method's sensitivity. Finally, real samples from the hospital site were evaluated to characterize the concentration. We have demonstrated the detection capability of PSA by the SiNB-FET, and results show that the nanobelt biochip will be applied to the clinical diagnosis, and verify its feasibility on the ultrasensitive diagnosis of prostate cancer in the future. © 2011 Springer-Verlag Berlin Heidelberg. Source

Lian X.-X.,Hangzhou Dianzi University | Wey I.-C.,Chang Gung University | Peng C.-C.,Changgung University | Cheng Z.-Q.,Hangzhou Dianzi University
IEICE Electronics Express | Year: 2015

Near-threshold-voltage (NTV) circuit is to set the operating voltage near the threshold voltage of CMOS transistors to pursue the maximum energy efficiency. However, the characteristics for each logic family are quite different under NTV while comparing to its operation under normal supply voltage. In this paper, we proposed a new dynamic-static hybrid near threshold voltage adder design. The proposed keeper design can suppress the leakage current and avoid signal contention in the dynamic CMOS circuit, which lets the dynamic CMOS logic family can be adapted to NTV environment with excellent speed characteristics and higher energy efficiency. The proposed low leakage dynamic-static hybrid NTV 32-bits adder design can achieve the maximum energy efficiency with 161.7% enhancement as compared to the mirror adder under NTV with 0.3 V. © IEICE 2015. Source

Kuo Y.-B.,National Chiao Tung University | Chan C.-C.,Hsinchu Cathay General Hospital | Chang C.A.,National Chiao Tung University | Chang C.A.,National Yang Ming University | And 7 more authors.
Molecular Medicine | Year: 2011

The purpose of this study was to examine the expression of phospholipid scramblase 1 (PLSCR1) in tumor tissues and plasma specimens of patients with colorectal cancer (CRC), as well as analyze its association with clinical parameters. The expression levels of PLSCR1 protein in 104 matched CRC and adjacent normal tissue sections and 50 pairs of CRC tissue blocks were determined by use of immunohistochemical and Western blot analyses, respectively. To evaluate the diagnostic potential of PLSCR1, the plasma levels of PLSCR1 were investigated in 111 additional subjects (59 CRC patients and 52 healthy controls) by Western blot. PLSCR1 was overexpressed in malignant adenocarcinoma tissues compared with normal colorectal mucosa (P < 0.001). In addition, the plasma level of PLSCR1 was not only significantly elevated in CRC patients compared with healthy individuals (P <0.001), but it was also substantially increased in early stage CRC (P < 0.001). Importantly, the overall sensitivity and specificity of PLSCR1 for CRC detection were 80% and 59.6%, respectively. The area under the ROC curve of PLSCR1 for CRC diagnosis is 0.75, which increases to 0.8 if combined with the measurement of carcinoembryonic antigen. Univariate analysis with the Cox regression model revealed that elevated PLSCR1 expression indicated a poor prognosis for CRC. This study showed that PLSCR1 protein levels were significantly elevated in both the cancer tissue and plasma of CRC patients. Moreover, the plasma levels of PLSCR1 were significantly elevated in patients with early stage CRC compared with healthy individuals, suggesting that PLSCR1 might be used as a noninvasive serological diagnostic and prognostic biomarker for CRC. © 2011 The Feinstein Institute for Medical Research. Source

Chou C.-W.,Changgung University | Lee J.-D.,Changgung University | Liu C.T.,Rutgers University | Tsai M.-T.,Changgung University
2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 | Year: 2014

This paper describes a novel region segmentation method created to enhance spatial relationships in 3-D optical coherence tomography (OCT) images. To reduce the noise and distortion problems in low-resolution OCT images, previous work used the mean value and an enhanced-fuzzy-c-mean algorithm to cluster pixels in 2-D OCT images and find the edge between different clustered regions. To utilize more spatial relationships and to reduce computation time, the proposed method uses the mean value and a 3-D filter-based-fuzzy-c-mean algorithm to cluster pixels in 3-D OCT images and find the edge between different clustered regions. The OCT images of an artificial object used to simulate vessels are tested in the experiment, and the segmented regions of interest are reconstructed via AVIZO for 3-D display purposes. © 2014 IEEE. Source

Lee J.-D.,Changgung University | Hsu Y.-W.,National Chiao Tung University | Tseng S.,Kaohsiung Medical University | Tseng E.,National Taiwan University | Tsai M.-T.,Changgung University
2013 ICME International Conference on Complex Medical Engineering, CME 2013 | Year: 2013

This paper described a novel region segmentation method to avoid difficulties of the threshold process used in traditional segmentation methods in 2-D optical coherence tomography (OCT) images. The speckle effect and diffusion problems make traditional image processing methods such as Canny edge and Otsu methods fail on finding layers and region edges in OCT images. The overcomplete-wavelet-frame-based fractal signature method based on high-pass information and a fuzzy-c-mean algorithm is considered to avoid the threshold processing, but the high-pass information is distorted because of noises and diffusions. To improve the high-pass information distortion problem, the proposed method uses the mean value and an enhanced-fuzzy-c-mean algorithm to cluster pixels in 2-D OCT images and find the edge between different clustered regions. The vessel OCT images are tested in the experiment, and the experimental results show that the proposed method performs with more accurate segmentation results than the overcomplete-wavelet-frame-based fractal signature method. © 2013 IEEE. Source

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