Wistron Corporation

Credo Diagnostics Biomedical Pte. Ltd.

Yu-Wen Huang

Pin-Hong Liou

Kai-Chung Cheng

Tzu-Yao Lin

Sheng-Shien Hsieh

Chun-Te Wu

Ying-Ta Lai

Yu-Cheng Ou

Han-Yi Chen

Ming-Che Ho

Yi-Sheng Chao

Shang-Min Yeh

Yueh-Chi Hung

The present invention discloses a Polymerase Chain Reaction (PCR) apparatus for real-time detecting of one or more fluorescent signals. According to the apparatus, the PCR is performed by controlling heating and cooling intervals of a reagent container receiving space. With the aid of an added specific probe and fluorescent material, as well as a light source and a spectrometer, a generated fluorescent signal is detected. Meanwhile, the apparatus is also pre-loaded with an algorithm configured to analyze and quantify the fluorescent signal in a real-time manner.

PCR apparatus for real-time detecting of one or more fluorescent signals

A depth image processing method and a depth image processing system are provided. The depth image processing method includes: capturing a first image and a second image; performing a feature comparison to acquire a plurality of feature pairs between the first image and the second image, wherein each of the feature pairs includes a feature in the first image and a corresponding feature in the second image; computing disparities of the feature pairs; computing a depth image through the first image and the second image when the disparities of the feature pairs are all smaller than a disparity threshold.

Depth image processing method and depth image processing system

An analysis method of lane stripe images, an image analysis device and a non-transitory computer readable medium thereof are provided to perform steps of: setting a reference point as a center to recognize the lane stripe image in a plurality of default directions; defining a plurality of preset sections onto the lane stripe image and determining a characteristic value of the lane stripe image in each of the preset sections whenever the lane stripe image is recognized in one of the default directions; determining a first feature parameter according to the characteristic values of the lane stripe image in the preset sections when the lane stripe image is recognized in at least one of the default directions; and determining an actual lane parameter of the lane stripe image according to at least the first feature parameter.

Analysis method of lane stripe images, image analysis device, and non-transitory computer readable medium thereof

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Taipei, Taiwan

Yu-Wen Huang