Bhuyan, S., Yadav, M., Giri, S.J., Begum, S., Das, S., Phukan, A., et al. (2023) Microliter Spotting and Micro-Colony Observation: A Rapid and Simple Approach for Counting Bacterial Colony Forming Units. Journal of Microbiological Methods, 207, Article ID: 106707.
https://doi.org/10.1016/j.mimet.2023.106707

has been cited by the following article:

• TITLE: Image Processing Based Colony Identification Research

  AUTHORS: Biao Huang, Shiping Zou

  KEYWORDS: Colony Identification, Colony Counting, Image Recognition, Colony Identification

  JOURNAL NAME: Journal of Electronics Cooling and Thermal Control, Vol.13 No.4, December 25, 2024

  ABSTRACT: Aiming at the shortcomings of the existing automatic colony counter, a set of algorithms based on the principle of image chromatic aberration to achieve colony identification is proposed, and a colony identification device is developed on this basis. The colony identification method is mainly based on the fact that different kinds of colonies and different concentrations of the same kind of colonies have different light-absorbing characteristics, and the judgement of colony types and concentrations is achieved through the method of image processing. The main features of the developed colony recognition equipment are high working efficiency, short recognition and detection time, and the potential of mixed recognition ability of multiple colonies. Therefore, the identification method and equipment have good application and promotion value in agriculture, food, medicine and other industries.