A method for detecting spatiotemporal patterns of cancer biomarkers-evoked activity using radial basis function network extracted time-domain features from calcium imaging data

Two-photon calcium imaging is widely used to study the odor-evoked glomerular activity in the dorsal olfactory bulb of macrosmatic animals. The nonstationary character of activated patterns sets a limit on the use of a traditional image processing approaches. The developed method makes it possible t...

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Bibliographic Details
Published in:	Journal of neuroscience methods Vol. 405; p. 110097
Main Authors:	Shcherban, Igor V., Fedotova, Victoria S., Matukhno, Aleksey E., Shepelev, Igor E., Shcherban, Oxana G., Lysenko, Larisa V.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01-05-2024
Subjects:	Automatic identification Calcium imaging analysis Odor-evoked glomerular activity Radial basis functions network Singular spectrum analysis Volatile organic compounds (VOC) detection Singular spectrum analysis Odor-evoked glomerular activity Calcium imaging analysis Radial basis functions network Volatile organic compounds (VOC) detection Automatic identification radial basis functions network odor-evoked glomerular activity calcium imaging analysis automatic identification singular spectrum analysis volatile organic compounds (VOC) detection
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Summary:	Two-photon calcium imaging is widely used to study the odor-evoked glomerular activity in the dorsal olfactory bulb of macrosmatic animals. The nonstationary character of activated patterns sets a limit on the use of a traditional image processing approaches. The developed method makes it possible to automatically map cancer biomarkers-activated glomeruli in the rat dorsal olfactory bulb. We interpolated fluorescence intensity of calcium dynamics based on the Gaussian RBF network and synthesized the physiological fluorescence model of the receptive glomerular field. The experiments on 5 rats confirmed the correctness of the developed approach. Patterns evoked by the 6-methyl-5-hepten-2-one (stomach cancer biomarker) and benzene (lung cancer biomarker) were correctly identified. The proposed method was compared with the nonnegative matrix factorization method and with the method based on computer vision algorithms. The developed approach showed better accuracy in experiments and provided the mathematical models of the odor-evoked patterns synthesis. These models can be used to generate synthetic images of odor-evoked glomerular activity and thus to overcome the problem of small experimental data collected in calcium imaging. The proposed method should be considered part of the toolkit for fully automatic analysis of calcium imaging-based studies. Currently available methodology is not able to use breath biomarkers to reliably discriminate between cancer patients and healthy controls. Nevertheless, the effective identification of the spatial patterns of cancer biomarkers-evoked glomerular activity can serve as the foundation for highly sensitive biohybrid systems for cancer screening. •Two-photon calcium imaging of the rat bulb dorsal surface olfactory activity.•Fluorescence intensity was interpolated with the Gaussian RBF network.•Olfactory reactions evoked by the 6-methyl-5-hepten-2-one and benzene.•Part of the toolkit for automatic analysis of calcium imaging-based studies.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0165-0270 1872-678X 1872-678X
DOI:	10.1016/j.jneumeth.2024.110097