[HTML][HTML] A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches

J Zhang, C Li, MM Rahaman, Y Yao, P Ma… - Artificial Intelligence …, 2022 - Springer
Microorganisms such as bacteria and fungi play essential roles in many application fields,
like biotechnique, medical technique and industrial domain. Microorganism counting …

A critical review of measurement uncertainty in the enumeration of food micro-organisms

JEL Corry, B Jarvis, S Passmore, A Hedges - Food microbiology, 2007 - Elsevier
Derivation of uncertainty provides a way to standardize the expression of variability
associated with any analytical procedure. The published information on uncertainty …

Bacterial colony counting with convolutional neural networks in digital microbiology imaging

A Ferrari, S Lombardi, A Signoroni - Pattern Recognition, 2017 - Elsevier
Counting bacterial colonies on microbiological culture plates is a time-consuming, error-
prone, nevertheless essential quantitative task in Clinical Microbiology Laboratories. With …

[HTML][HTML] Automated counting of bacterial colony forming units on agar plates

SD Brugger, C Baumberger, M Jost, W Jenni… - PloS one, 2012 - journals.plos.org
Manual counting of bacterial colony forming units (CFUs) on agar plates is laborious and
error-prone. We therefore implemented a colony counting system with a novel segmentation …

Image generation by GAN and style transfer for agar plate image segmentation

P Andreini, S Bonechi, M Bianchini, A Mecocci… - Computer methods and …, 2020 - Elsevier
Background and objectives. Deep learning models and specifically Convolutional Neural
Networks (CNNs) are becoming the leading approach in many computer vision tasks …

Low‐cost, high‐throughput, automated counting of bacterial colonies

ML Clarke, RL Burton, AN Hill, M Litorja… - Cytometry Part …, 2010 - Wiley Online Library
Research involving bacterial pathogens often requires enumeration of bacteria colonies.
Here, we present a low‐cost, high‐throughput colony counting system consisting of colony …

Response to different environmental stress conditions of industrial and laboratory Saccharomyces cerevisiae strains

A Garay-Arroyo, AA Covarrubias, I Clark, I Nino… - Applied microbiology …, 2004 - Springer
Two sets of Saccharomyces cerevisiae strains were compared for their physiological
responses to different stress conditions. One group is composed of three strains adapted to …

Effective object recognition for automated counting of colonies in Petri dishes (automated colony counting)

J Marotz, C Lübbert, W Eisenbeiss - Computer methods and programs in …, 2001 - Elsevier
Determination of the number of colonies (colony forming units, CFU) is a standard method in
microbiological analysis to ensure the quality of drinking water. Normally this tedious work is …

Bacterial colony counting by convolutional neural networks

A Ferrari, S Lombardi… - 2015 37th annual …, 2015 - ieeexplore.ieee.org
Counting bacterial colonies on microbiological culture plates is a time-consuming, error-
prone, nevertheless fundamental task in microbiology. Computer vision based approaches …

A review on methods for automatic counting of objects in digital images

JGA Barbedo - IEEE Latin America Transactions, 2012 - ieeexplore.ieee.org
A growing number of routine and research activities, in a wide variety of fields, have the
counting of certain types of objects (cells, people, insects, etc.) as one of their main …