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semi-automated image analysis algorithm  (MathWorks Inc)


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    MathWorks Inc semi-automated image analysis algorithm
    Semi Automated Image Analysis Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/automated+image+analysis+algorithm/pm37778466-122-14-20
    Average 90 stars, based on 1 article reviews
    semi-automated image analysis algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Universal Equations for the Coalescence Probability and Long-Term Size Stability of Phospholipid-Coated Monodisperse Microbubbles Formed by Flow Focusing.
    Article Snippet: Resonantly driven monodisperse phospholipid-coated microbubbles are expected to substantially increase the sensitivity and efficiency in contrast-enhanced ultrasound imaging and therapy.. They can be produced in a microfluidic flow-focusing device but questions remain as to the role of the device geometry, the liquid and gas flow, and the phospholipid formulation on bubble stability.. Here, we develop a model based on simple continuum mechanics equations that reveals the scaling of the coalescence probability with the key physical parameters.

    Article Title: Dependence of sonoporation efficiency on microbubble size: An in vitro monodisperse microbubble study.
    Article Snippet: The bubble radius was extracted from each frame of the high-speed movies by a semi-automated image analysis algorithm programmed in MATLAB (The Mathworks, Natick, MA).



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    Image Search Results


    Automated workflow of ER IHC digital imaging analysis (DIA) using Visiopharm coupled with whole slide images (WSI) in the Philips Image Management System (IMS). (A) Downloading case metadata for 1 ER IHC slide in Philips Imaging Managing System. (B) Streaming whole slide image of ER IHC slide by opening its metadata file in Visiopharm. (C) Selecting tumor detection and ER digital imaging analysis algorithms in Visiopharm app center. (D) Analyzing ER results using automated ER digital imaging analsysis algorithm.

    Journal: Journal of Pathology Informatics

    Article Title: Integrating and validating automated digital imaging analysis of estrogen receptor immunohistochemistry in a fully digital workflow for clinical use

    doi: 10.1016/j.jpi.2022.100122

    Figure Lengend Snippet: Automated workflow of ER IHC digital imaging analysis (DIA) using Visiopharm coupled with whole slide images (WSI) in the Philips Image Management System (IMS). (A) Downloading case metadata for 1 ER IHC slide in Philips Imaging Managing System. (B) Streaming whole slide image of ER IHC slide by opening its metadata file in Visiopharm. (C) Selecting tumor detection and ER digital imaging analysis algorithms in Visiopharm app center. (D) Analyzing ER results using automated ER digital imaging analsysis algorithm.

    Article Snippet: The Visiopharm automated estrogen receptor (ER) digital imaging analysis (DIA) algorithm assesses digitized ER immunohistochemistry (IHC) by segmenting tumor nuclei and detecting stained nuclei automatically.

    Techniques: Imaging

    Comparison between original reads of estrogen receptor immunohistochemistry positivity with digital imaging analysis’ reads and pathologists’ reads.

    Journal: Journal of Pathology Informatics

    Article Title: Integrating and validating automated digital imaging analysis of estrogen receptor immunohistochemistry in a fully digital workflow for clinical use

    doi: 10.1016/j.jpi.2022.100122

    Figure Lengend Snippet: Comparison between original reads of estrogen receptor immunohistochemistry positivity with digital imaging analysis’ reads and pathologists’ reads.

    Article Snippet: The Visiopharm automated estrogen receptor (ER) digital imaging analysis (DIA) algorithm assesses digitized ER immunohistochemistry (IHC) by segmenting tumor nuclei and detecting stained nuclei automatically.

    Techniques: Comparison, Immunohistochemistry, Imaging

    Six cases with discordant estrogen receptor results between digital imaging analysis and original reads.

    Journal: Journal of Pathology Informatics

    Article Title: Integrating and validating automated digital imaging analysis of estrogen receptor immunohistochemistry in a fully digital workflow for clinical use

    doi: 10.1016/j.jpi.2022.100122

    Figure Lengend Snippet: Six cases with discordant estrogen receptor results between digital imaging analysis and original reads.

    Article Snippet: The Visiopharm automated estrogen receptor (ER) digital imaging analysis (DIA) algorithm assesses digitized ER immunohistochemistry (IHC) by segmenting tumor nuclei and detecting stained nuclei automatically.

    Techniques: Imaging, Staining

    Digital pathology imaging and measurement of lymph node stroma in HL and NHL. Slides of hematoxilin-eosin (HE, representative cases in Panel ( A )) or Mallory trichrome staining (representative cases in Panel ( B )) from LN sections of patients with HL ( n = 11), FL1-2 ( n = 6), FL3A ( n = 8), DLBCL ( n = 6), compared with 9 LDN, were subjected to Digital Pathology Imaging. Panel ( C ). HE sections were analyzed with the Genie software (right images in Panel ( A )) and the percentage area of stromal compartment per slide was calculated, adjusted to total tissue area in the image analyzed. Data are expressed as a percentage of green pseudocolor (stromal) areas and are the mean ± SEM of the indicated number of cases for each histological type. * p < 0.05 vs. LDN, FL1-2 and FL3A. Panel ( D ): digital images of Mallory trichrome stained sections were analyzed with an automated image analysis algorithm for color deconvolution (right images in Panel ( B )) and collagen areas quantified by the Image Scope software. Data are expressed as percentage of blue (collagen) areas and are the mean ± SEM of the indicated number of cases for each histological type. * p < 0.005 vs. LDN, FL1-2 and FL3A.

    Journal: Cancers

    Article Title: Lysyl-Oxidase Dependent Extracellular Matrix Stiffness in Hodgkin Lymphomas: Mechanical and Topographical Evidence

    doi: 10.3390/cancers14010259

    Figure Lengend Snippet: Digital pathology imaging and measurement of lymph node stroma in HL and NHL. Slides of hematoxilin-eosin (HE, representative cases in Panel ( A )) or Mallory trichrome staining (representative cases in Panel ( B )) from LN sections of patients with HL ( n = 11), FL1-2 ( n = 6), FL3A ( n = 8), DLBCL ( n = 6), compared with 9 LDN, were subjected to Digital Pathology Imaging. Panel ( C ). HE sections were analyzed with the Genie software (right images in Panel ( A )) and the percentage area of stromal compartment per slide was calculated, adjusted to total tissue area in the image analyzed. Data are expressed as a percentage of green pseudocolor (stromal) areas and are the mean ± SEM of the indicated number of cases for each histological type. * p < 0.05 vs. LDN, FL1-2 and FL3A. Panel ( D ): digital images of Mallory trichrome stained sections were analyzed with an automated image analysis algorithm for color deconvolution (right images in Panel ( B )) and collagen areas quantified by the Image Scope software. Data are expressed as percentage of blue (collagen) areas and are the mean ± SEM of the indicated number of cases for each histological type. * p < 0.005 vs. LDN, FL1-2 and FL3A.

    Article Snippet: Layers of each virtual slide annotation were created manually, selecting the whole area, and analyzed with the automated image analysis algorithm color deconvolution (Aperio software version 9.1, Aperio Technologies, Nussloch GmbH, Wetzlar, Germany).

    Techniques: Imaging, Staining, Software