Title :
An automatic cell counting method for optical images
Author :
Chen, Yongming ; Biddell, Kevin ; Sun, Aiying ; Relue, Patricia A. ; Johnson, Jeffrey D.
Author_Institution :
Dept. of Bioeng., Toledo Univ., OH, USA
Abstract :
In the research of photodynamic therapy (PDT), we need to know the percent of cells that survive PDT therapy to evaluate the effectiveness of treatment conditions. Manually counting the cell number from digital images is time-consuming and not very objective. An automatic cell counting method based on an image segmentation technique is introduced and some results have been provided to compare with the human counting results
Keywords :
biological techniques; cellular effects of radiation; image segmentation; medical image processing; photodynamic therapy; automatic cell counting method; cell number; digital images; human counting results; image segmentation technique; optical images; photodynamic therapy; treatment conditions; Biomedical engineering; Biomedical optical imaging; Counting circuits; Digital images; Floods; Gray-scale; Humans; Image quality; Image segmentation; Medical treatment;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.803974
