Patents by Inventor Chi-Tin SHIH

Chi-Tin SHIH has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method of segmenting single neuron images with high-dynamic-range thresholds and computer readable storage medium thereof
    Patent number: 10002425
    Abstract: The method of segmenting single neuron images with high-dynamic-range thresholds of the present invention includes (a) preparing a biological tissue sample containing neurons and performing imaging to this sample to obtain a three-dimensional raw neuroimage; (b) deleting voxels in the three-dimensional raw neuroimage with signal intensities below a first signal intensity threshold to obtain a first thresholded image; (c) tracing the first thresholded image to obtain a first traced image; (d) calculating a structural importance score of every voxel in the first traced image to obtain a first structural importance score of every voxel; (e) gradually increasing the signal intensity threshold and repeating (b), (c) and (d) n?1 times; (f) summing up all the n structural importance scores of every voxel; (g) deleting voxels with summed structural importance score smaller than a pre-determined value from the raw image to obtain the segmented single neuron.
    Type: Grant
    Filed: December 6, 2016
    Date of Patent: June 19, 2018
    Assignees: National Tsing Hua University, Tunghai University, National Applied Research Laboratories
    Inventors: Chi-Tin Shih, Nan-Yow Chen, Ann-Shyn Chiang
  • METHOD OF SEGMENTING SINGLE NEURON IMAGES WITH HIGH-DYNAMIC-RANGE THRESHOLDS AND COMPUTER READABLE STORAGE MEDIUM THEREOF
    Publication number: 20180018767
    Abstract: The method of segmenting single neuron images with high-dynamic-range thresholds of the present invention includes (a) preparing a biological tissue sample containing neurons and performing imaging to this sample to obtain a three-dimensional raw neuroimage; (b) deleting voxels in the three-dimensional raw neuroimage with signal intensities below a first signal intensity threshold to obtain a first thresholded image; (c) tracing the first thresholded image to obtain a first traced image; (d) calculating a structural importance score of every voxel in the first traced image to obtain a first structural importance score of every voxel; (e) gradually increasing the signal intensity threshold and repeating (b), (c) and (d) n?1 times; (f) summing up all the n structural importance scores of every voxel; (g) deleting voxels with summed structural importance score smaller than a pre-determined value from the raw image to obtain the segmented single neuron.
    Type: Application
    Filed: December 6, 2016
    Publication date: January 18, 2018
    Inventors: Chi-Tin SHIH, Nan-Yow CHEN, Ann-Shyn CHIANG