TY  - JOUR
TI  - Rapid Characterization of Cell and Bacteria Counts using Computer Vision
AB  - The cell counting process is an important procedure for various cell and cell-related research applications. Many life science-related studies examine the cells to compare results concerning cell numbers and variations. Most of the related studies are conducted using manual counting methods. However, manual counting is difficult, time-consuming, and fallible. This study proposes an automated cell counting software using computer vision (CV) technology and experimental investigation for automated cell and bacterium counting. The software processes images for calculating cell/bacterium count, concerning pre-defined user parameters. In the experiments, cell and bacteria calculations are tested for single and mixed variations. Experimental results are examined by comparing manual and automated cell counting results. The accuracy of the software is found for calculating the cell count of a single and mixed cell/bacteria solution to be 99% and 98%, respectively. Also, the software can process video and camera streams in real-time in the same manner. The proposed open-sourced CV software can be used in biomedical and fundamental biological research studies for rapidly determining target cell numbers.
AU  - AKKOYUN, FATIH
AU  - Ozcelik, Adem
DO  - 10.46810/tdfd.902441
PY  - 2021
JO  - Türk Doğa ve Fen Dergisi
VL  - 10
IS  - 1
SN  - 2149-6366
SP  - 269
EP  - 274
DB  - TRDizin
UR  - http://search/yayin/detay/437217
ER  -