ISSN: 2329-9053

Journal of Molecular Pharmaceutics & Organic Process Research
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  • Research Article   
  • J Mol Pharm Org Process Res,
  • DOI: 10.4172/2329-9053.1000217

ImageJ for Counting of Labeled Bacteria from Smartphone-Microscope Images

Ibrahim Mahmoud Al-Osta*, Marwa Saleh Diab and Sundus Abdu Salam Al-Shreef
Department of Pharmacology and Clinical Pharmacy, Elmergib University, Faculty of Pharmacy, Al-Khoms, Libya
*Corresponding Author : Ibrahim Mahmoud Al-Osta, Department of Pharmacology and Clinical Pharmacy, Elmergib University, Faculty of Pharmacy, Al-Khoms, Libya, Tel: +00218913223701, Email: ibrahimalosta@elmergib.edu.ly

Received Date: Sep 09, 2021 / Accepted Date: Sep 23, 2021 / Published Date: Sep 30, 2021

Abstract

Objective: The manual counting of gram stained bacteria examined under a microscope becomes difficult when a large number of bacterial cells exist in a microscopic field. The present study was aimed to ease this problem by applying ImageJ software to counting of gram stained bacteria.

Method: This experiment was conducted on Elmergib university, faculty of pharmacy laboratories (Al-Khoms city- Libya). In this study, a microscopic image of a gram stained bacterial cells captured using a student’s smartphone, treated and the bacterial cells were then easily and automatically counted using ImageJ.

Results: According to ImageJ reading, the total number of bacterial particles appeared in the field of a microscopic image were 332 cells.

Conclusion: Direct staining and visualization of organisms for counting can benefit greatly from the use of ImageJ software. This method is less expensive, less contamination and less laborious than other methods and is more rapid and reproducible than counting using manual microscopy methods.

Keywords: ImageJ, Bacterial cells, Automated cell counting

Citation: Al-Osta IM, Diab MS, Al-Shreef SAS (2021) ImageJ for Counting of Labeled Bacteria from Smartphone-Microscope Images. J Mol Pharm Org Process Res 9: 217. Doi: 10.4172/2329-9053.1000217

Copyright: © 2021 Al-Osta IM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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