Metal Industries Research & Development Centre

Yan-Jun Chen

Bo-Wei Pan

Tsung-Chih Yu

Ming-Hui Cheng

Yu-Fen Kuo

Jia-Hong Zhang

Chun-Sen Wu

A large scale cell image analysis method and system are provided. The method includes: obtaining a cell image; performing a region segmentation process; and performing a feature calculation process. The region segmentation process includes: performing a statistical intensity algorithm according to the cell image to calculate a first threshold and a second threshold; dividing the cell image into a background region and a cell region according to the first threshold; performing an average intensity process according to the cell region to calculate a third threshold and a fourth threshold; and dividing the cell region into a cytoplasmic region and a nucleus region according to the third threshold and the fourth threshold. The feature calculation process calculates at least one feature at least according to the cell region, the nucleus region, and the cytoplasmic region.

Large scale cell image analysis method and system

The present invention discloses a method for finding a cell nucleus of a target cell from a cell image, wherein the cell image includes the target cell and at least one variation cell, and the target cell includes cytoplasm and the cell nucleus. The method includes steps of: (a) processing the cell image via an image processor such that the cytoplasm, the cell nucleus and the variation cell have different shades of color; (b) demarcating the outlines of the cytoplasm, the cell nucleus and the variation cell; (c) calculating geometrical reference points of the outlines; (d) calculating the distances from the geometrical reference point of the cytoplasm outline to the geometrical reference point of the cell nucleus outline and to the geometrical reference points of the variation cell outlines; and (e) finding a specific geometrical reference point having a shortest distance to locate a specific outline corresponding to the specific geometrical reference point as the cell nucleus.

Device and method for finding cell nucleus of target cell from cell image

Growing community of inventors

Kaohsiung, Taiwan

Yan-Jun Chen