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primary topic: Comparative Study on Evaluating the Performance of Automated Bacterial Colony Counting with Available APP and Software on Generated Image Dataset

Comparative Study on Evaluating the Performance of Automated Bacterial Colony Counting with Available APP and Software on Generated Image Dataset
type: AcademicArticle
type: Article
abstract: Recent developments in image analysis and interpretation using computer vision techniques have shown potential for novel applications in microbiology laboratories to support the task of automation, aiming for faster and more reliable detection. Image processing techniques and machine learning models can be valuable tools in the screening process, helping technicians spend less time classifying no-growth results and quickly separating the categories for further analysis. In this context, creating a dataset of different bacterial strain images is a fundamental objective for developing and improving the accuracy of image processing models. Therefore, this manuscript acquired a dataset of water samples with different bacterial strain images on a petri dish following a standardized process with controlled conditions of positioning and lighting. The image acquisition device was also developed with a light-emitting diode (LED) and diffuser as a lighting source and a smartphone camera with 16 MP resolution. In addition, the present manuscript also focuses on comparing the accuracy of the proposed algorithm with the available apps and software using the custom-built imaging device. Hence, the resulting dataset consists of 100 images, which is helpful for researchers working in image processing to develop an algorithm for automated counting of bacterial colonies on petri dishes. Graphical Abstract
date: 2025
volume: 6
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
subject: QR Microbiology

Springer Nature
type: Organization

SN Computer Science
type: Collection

Suman Tewary
type: Person
given name: Suman
family name: Tewary

Neelam Kumari
type: Person
given name: Neelam
family name: Kumari

Prachi Arora
type: Person
given name: Prachi
family name: Arora

Srinivasan Krishnamurthi
type: Person
given name: Srinivasan
family name: Krishnamurthi

HTML Summary of #3198 Comparative Study on Evaluating the Performance of Automated Bacterial Colony Counting with Available APP and Software on Generated Image Dataset
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primary topic: Comparative Study on Evaluating the Performance of Automated Bacterial Colony Counting with Available APP and Software on Generated Image Dataset

QR Microbiology
type: Concept