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Literature DB >> 16002082

Simplified method to automatically count bacterial colony forming unit.

Michael Putman¹, Robert Burton, Moon H Nahm.

Abstract

Bacterial colony counting is a significant technical hurdle for vaccine studies as well as various microbiological studies. We now show that an automated colony counter can process images obtained with a digital camera or document scanner and that any laboratory can efficiently have bacterial colonies enumerated by sending the images to a laboratory with a colony counter via internet.

Mesh：

Year: 2005 PMID： 16002082 DOI： 10.1016/j.jim.2005.05.003

Source DB: PubMed Journal: J Immunol Methods ISSN： 0022-1759 Impact factor: 2.303

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Cited

14 in total

1. Development of a microbial high-throughput screening instrument based on elastic light scatter patterns.

Authors: Euiwon Bae; Valery Patsekin; Bartek Rajwa; Arun K Bhunia; Cheryl Holdman; V Jo Davisson; E Daniel Hirleman; J Paul Robinson
Journal: Rev Sci Instrum Date: 2012-04 Impact factor: 1.523

2. Low-cost, high-throughput, automated counting of bacterial colonies.

Authors: Matthew L Clarke; Robert L Burton; A Nayo Hill; Maritoni Litorja; Moon H Nahm; Jeeseong Hwang
Journal: Cytometry A Date: 2010-08 Impact factor: 4.355

3. Combined treatment by octreotide and everolimus: Octreotide enhances inhibitory effect of everolimus in aggressive meningiomas.

Authors: Thomas Graillon; Céline Defilles; Amira Mohamed; Christophe Lisbonis; Anne-Laure Germanetti; Olivier Chinot; Dominique Figarella-Branger; Pierre-Hugues Roche; Tarek Adetchessi; Stéphane Fuentes; Philippe Metellus; Henry Dufour; Alain Enjalbert; Anne Barlier
Journal: J Neurooncol Date: 2015-05-27 Impact factor: 4.130

4. Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times.

Authors: Santosh Pandey; Yunsoo Park; Ankita Ankita; Gregory J Phillips
Journal: HardwareX Date: 2021-11-25

5. A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches.

Authors: Jiawei Zhang; Chen Li; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao; Tao Jiang; Marcin Grzegorzek
Journal: Artif Intell Rev Date: 2021-09-29 Impact factor: 9.588

6. Direct detection and serogroup characterization of Neisseria meningitidis from outbreak of meningococcal meningitis in Delhi.

Authors: Ss Negi; Ss Grover; Ss Rautela; Ds Rawat; S Gupta; S Khare; S Lal; A Rai
Journal: Iran J Microbiol Date: 2010-06

Simplified method to automatically count bacterial colony forming unit.

1. Development of a microbial high-throughput screening instrument based on elastic light scatter patterns.

2. Low-cost, high-throughput, automated counting of bacterial colonies.

3. Combined treatment by octreotide and everolimus: Octreotide enhances inhibitory effect of everolimus in aggressive meningiomas.

4. Scan4CFU: Low-cost, open-source bacterial colony tracking over large areas and extended incubation times.

5. A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches.

6. Direct detection and serogroup characterization of Neisseria meningitidis from outbreak of meningococcal meningitis in Delhi.

7. Automated counting of bacterial colony forming units on agar plates.

8. Portable bacterial identification system based on elastic light scatter patterns.

9. OpenCFU, a new free and open-source software to count cell colonies and other circular objects.

10. Evaluation of heterotrophic plate and chromogenic agar colony counting in water quality laboratories.