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專利授權區
專利名稱(中)	以高動態範圍臨界值切割單一神經元影像的方法及其電腦可讀儲存媒體
專利名稱(英)	Method of Segmenting Single Neuron Images with High-Dynamic-Range Thresholds and Computer Readable Storage Medium Thereof
專利家族	中華民國：I626621 美國：10,002,425
專利權人	財團法人國家實驗研究院 25.00% ,東海大學 25.00% ,國立清華大學 50.00%
發明人	江安世,國網中心陳南佑,東海大學施奇廷
技術領域	生化醫藥,資訊工程

專利摘要(中)
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.

專利摘要(中)

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.

聯絡資訊
承辦人姓名	劉千綺
承辦人電話	03-571-5131 #31181
承辦人Email	chienchi@mx.nthu.edu.tw