20.4.3 Extraction and Analysis Bacteria

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Bacteria. Bacteria Extraction.

Glaser, D.A., Ward, C.R.,
Computer Identification of Bacteria by Colony Morphology,
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Wang, D.Y.[Da-You], Keller, J.M.[James M.], Carson, C.A.[C. Andrew],
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Trattner, S.[Sigal], Greenspan, H.[Hayit], Tepper, G., Abboud, S.,
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Trattner, S.[Sigal], Feigin, M.[Micha], Greenspan, H.[Hayit], Sochen, N.A.[Nir A.],
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MMBIA07(1-8).
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Volkovich, Z.[Zeev], Kirzhner, V.[Valery], Barzily, Z.[Zeev], Hosid, S.[Sergey], Korenblat, K.[Katerina],
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Genome clustering; Cluster validation; Compositional spectra method BibRef

Ferrari, A.[Alessandro], Lombardi, S.[Stefano], Signoroni, A.[Alberto],
Bacterial colony counting with Convolutional Neural Networks in Digital Microbiology Imaging,
PR(61), No. 1, 2017, pp. 629-640.
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Convolutional Neural Networks BibRef

Signoroni, A.[Alberto], Savardi, M.[Mattia], Pezzoni, M.[Mario], Guerrini, F.[Fabrizio], Arrigoni, S.[Simone], Turra, G.[Giovanni],
Combining the use of CNN classification and strength-driven compression for the robust identification of bacterial species on hyperspectral culture plate images,
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Wang, J., Batabyal, T., Zhang, M., Zhang, J., Aziz, A., Gahlmann, A., Acton, S.T.,
Lcuts: Linear Clustering of Bacteria Using Recursive Graph Cuts,
ICIP19(1575-1579)
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Segmentation, bacterial biofilm, clustering, graph cut, point cloud data BibRef

Balomenos, A.D., Stefanou, V., Manolakos, E.S.,
Bacterial Image Analysis and Single-Cell Analytics to Decipher the Behavior of Large Microbial Communities,
ICIP18(2436-2440)
IEEE DOI 1809
Time-lapse microscopy, cell segmentation, cell tracking, single-cell analytics, bio-image informatics BibRef

Turra, G.[Giovanni], Arrigoni, S.[Simone], Signoroni, A.[Alberto],
CNN-Based Identification of Hyperspectral Bacterial Signatures for Digital Microbiology,
CIAP17(II:500-510).
Springer DOI 1711
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Andreini, P.[Paolo], Bonechi, S.[Simone], Bianchini, M.[Monica], Mecocci, A.[Alessandro], Di Massa, V.[Vincenzo],
Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening,
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Hosseini, M., Sowmya, A., Vallotton, P., Bednarz, T.,
High Precision Localization of Bacterium and Scientific Visualization,
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biology computing BibRef

Zhou, Z.[Zheng], Zhao, Y.L.[Yuan-Ling], Fan, D.K.[Deng-Ke],
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Vallotton, P., Sun, C.M.[Chang-Ming], Wang, D.[Dadong], Turnbull, L., Whitchurch, C., Ranganathan, P.,
Segmentation and tracking individual Pseudomonas aeruginosa bacteria in dense populations of motile cells,
IVCNZ09(221-225).
IEEE DOI 0911
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Bhattacharya, U., Liebscher, V., Datta, A., Parui, S.K., Rodenacker, K., Chaudhuri, B.B.,
Shape Extraction of Volumetric Images of Filamentous Bacteria Using Topology Adaptive Self Organization,
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Roa, F.[Felida], Bravo, A.[Antonio], Valery, A.[Alexis],
Automated characterization of bacteria in confocal microscope images,
MMBIA08(1-8).
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Churkin, A., Barash, D.,
Pattern Recognition Method to Detect Vulnerable Spots in an RNA Sequence for Bacterial Resistance to the Antibiotic Spectinomycin,
BioInfo05(III: 139-139).
IEEE DOI 0507
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Chaudhuri, B., Adiga, P.U.[P. Umesh],
Analysis of Volumetric Images of Filamentous Bacteria in Industrial Sludge,
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IEEE DOI 9808
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Kreitz, S., Hess, A., Anderson, T.H.,
Direct enumeration and size classification of soil bacteria using confocal laser scanning microscopy and image analysis,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Extraction and Analysis of Proteins .


Last update:Nov 23, 2020 at 10:27:11