Noise-free accurate count of microbial colonies by time-lapse shadow image analysis-Reference-Cited by-同舟云学术

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Noise-free accurate count of microbial colonies by time-lapse shadow image analysis

Published:2012-12 Issue:3 Volume:91 Page:420-428
ISSN:0167-7012
Container-title:Journal of Microbiological Methods
language:en
Short-container-title:Journal of Microbiological Methods

Author:

Ogawa Hiroyuki,Nasu Senshi,Takeshige Motomu,Funabashi Hisakage,Saito Mikako,Matsuoka Hideaki

Funder

Grant-in-aid for Scientific Research for the Promotion of Safety and Security of Foods

Publisher

Elsevier BV

Subject

Microbiology (medical),Molecular Biology,Microbiology

Reference23 articles.

1. Development of a density slicer for the simple collection of respective density layers after stepwise density gradient centrifugation;Araki;Biocontrol Sci.,2010

2. Label-free identification of bacterial microcolonies via elastic scattering;Bae;Biotechnol. Bioeng.,2011

3. Rapid detection of Escherichia coli in waters using fluorescent in situ hybridization, direct viable counting and solid phase cytometry;Baudart;J. Appl. Microbiol.,2010

4. Automated counting of bacterial colony forming units on agar plates;Brugger;PLoS One,2012

5. Evaluation of difference imagery for visualizing and quantitating microbial growth;Caldwell;Can. J. Microbiol.,1985

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1. An experimental setup and segmentation method for CFU counting on agar plate for the assessment of drinking water;Journal of Microbiological Methods;2023-11

2. An Experimental Setup and Segmentation Method for Cfu Counting on Agar Plate for the Assessment of Drinking Water;2023

3. A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches;Artificial Intelligence Review;2021-09-29

4. Detection Time Distribution of Microcolonies Formed by Individual Heat-Injured Cells of <i>Escherichia coli</i>;Biocontrol Science;2021

5. Case study on the environmental monitoring for biological manufacturing using Time-lapse Shadow Image Analysis;Biologicals;2020-07

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