Bilgisayarlı Görüş Kullanarak Bakteri ve Hücre Sayılarının Hızlı Karakterizasyonu

The cell counting process is an important procedure for various and cell-related research applications. Many life science-related studies examine the cells to compare results concerning numbers variations. Most of related are conducted using manual methods. However, difficult, time-consuming, fallible. This study proposes automated software computer vision (CV) technology experimental investigation bacterium counting. processes images calculating cell/bacterium count, pre-defined user parameters. In experiments, bacteria calculations tested single mixed Experimental examined by comparing results. accuracy found count a cell/bacteria solution be 99% 98%, respectively. Also, can video camera streams in real-time same manner. proposed open-sourced CV used biomedical fundamental biological rapidly determining target numbers.