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Algae through the looking glass

Articolo
Data di Pubblicazione:
2017
Abstract:
Microalgae are one of the most suitable subjects for testing the potentiality of light microscopy and image analysis, because of the size of single cells, their endogenous chromaticity, and their metabolic and physiological characteristics. Microscope observations and image analysis can use microalgal cells from lab cultures or collected from water bodies as model to investigate metabolic processes, behavior/reaction of cells under chemical or photic stimuli, and dynamics of population in the natural environment in response to changing conditions. In this paper we will describe the original microscope we set up together with the image processing techniques we improved to deal with these topics. Our system detects and recognizes in-focus cells, extracts their features, measures cell concentration in multi-algal samples, reconstructs swimming cell tracks, monitors metabolic processes, and measure absorption and fluorescent spectra of subcellular compartments. It can be used as digital microscopy station for algal cell biology and behavioral studies, and field analysis applications.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Automatic identification; Automatic track reconstruction; Digital microscopy; Microalgae; Microspectroscopy
Elenco autori:
Evangelista, Valtere; Gualtieri, Paolo; Barsanti, Laura; Coltelli, Primo
Autori di Ateneo:
BARSANTI LAURA
EVANGELISTA VALTERE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/341565
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/341565/112627/prod_374101-doc_170418.pdf
Pubblicato in:
MICROSCOPY RESEARCH AND TECHNIQUE (PRINT)
Journal
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URL

https://onlinelibrary.wiley.com/doi/10.1002/jemt.22820
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