Rapid determination of bacterial abundance, biovolume, morphology, and growth by neural network-based image analysis

Article Abstract:

Research was conducted to examine the annual bacterial plankton dynamics at varying locations and depths in the baltic Sea using image analysis. An artificial neural network was used to classify individual bacteria and identify nonbacterial objects. Bacterial growth was observed to have coherent patterns with depth and time. Results demonstrate that bacterial growth rates estimated by the thymidine incorporation approach were different from bacterial growth rates calculated from frequencies of dividing cells.

Environmental aspects, Bacterial growth, Baltic Sea

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COVASIAM: an image analysis metho that allows detection of confluent microbial colonies and colonies of various sizes for automated counting

Article Abstract:

The confluent and various sizes image analysis method (COVASIAM) is described. The automated colony count technique utilizes digital imaging technology for the separation and detection of confluent microbial colonies and colonies of various sizes growing on petri dishes and takes advantage of the optical properties of the surfaces of microbial colonies. COVASIAM can be easily transposed to other image-processing analyzers since it has generic standards for compilation.

Methods, Microbiology

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Determination of abundance and biovolume of bacteri in sediments by dual staining with 4',6-diamidino-2-phenylindole and acridine orange: relationship to dispersion treatment and sediment characteristics

Article Abstract:

Researchers used two dyes and three dispersion techniques to study the volume of bacteria in intertidal sediments in Tokyo Bay, Japan. An ultrasonic cleaner and sonicator were more accurate than a tissue homogenizer. The dual staining technique allows bacteria to be distinguished from other objects.

Research, Marine bacteria, Intertidal zonation, Intertidal areas

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