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colocalization algorithm uses matlab software  (MathWorks Inc)


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    MathWorks Inc colocalization algorithm uses matlab software
    FIG. 1. <t>Colocalization</t> detection and quantification of HLA receptors on the cell surface of human trophoblast-derived choriocarcinoma cells. A) 3D image of a JEG-3 cell showing blue (nucleus), green (HLA-E), red (HLA-C), and yellow/orange potentially colocalized particles. B) Mask image of single cell (gray) shown in A. Cell outline was traced using differential interference contrast and its fluorescence image. C) 3D scatter plot of a single cell depicting the relationship between HLA-E (green asterisks) and HLA-C (red asterisks). Blue circles designate colocalized HLA-E and -C molecules. Total number of red, green, and colocalized spots per cell is quantified. D) Color-coded 3D scatter plot for Euclidean distance map of colocalized particles. The color scale indicates the distance between the centroids of colocalized pairs ranging from 10–165 nm (colocalization distance threshold d¼165 nm). The corresponding histogram represents colocalization distance on the x-axis and the number of colocalizations on the y-axis. Note that the grid for cellular dimensions uses micrometers.
    Colocalization Algorithm Uses Matlab Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2900 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/colocalization+algorithm+uses+matlab+software/Image+Processing+Toolbox/pm24006284-126-2-5
    Average 96 stars, based on 2900 article reviews
    colocalization algorithm uses matlab software - by Bioz Stars, 2026-09
    96/100 stars

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    1) Product Images from "Quantified colocalization reveals heterotypic histocompatibility class I antigen associations on trophoblast cell membranes: relevance for human pregnancy."

    Article Title: Quantified colocalization reveals heterotypic histocompatibility class I antigen associations on trophoblast cell membranes: relevance for human pregnancy.

    Journal: Biology of reproduction

    doi: 10.1095/biolreprod.113.111963

    FIG. 1. Colocalization detection and quantification of HLA receptors on the cell surface of human trophoblast-derived choriocarcinoma cells. A) 3D image of a JEG-3 cell showing blue (nucleus), green (HLA-E), red (HLA-C), and yellow/orange potentially colocalized particles. B) Mask image of single cell (gray) shown in A. Cell outline was traced using differential interference contrast and its fluorescence image. C) 3D scatter plot of a single cell depicting the relationship between HLA-E (green asterisks) and HLA-C (red asterisks). Blue circles designate colocalized HLA-E and -C molecules. Total number of red, green, and colocalized spots per cell is quantified. D) Color-coded 3D scatter plot for Euclidean distance map of colocalized particles. The color scale indicates the distance between the centroids of colocalized pairs ranging from 10–165 nm (colocalization distance threshold d¼165 nm). The corresponding histogram represents colocalization distance on the x-axis and the number of colocalizations on the y-axis. Note that the grid for cellular dimensions uses micrometers.
    Figure Legend Snippet: FIG. 1. Colocalization detection and quantification of HLA receptors on the cell surface of human trophoblast-derived choriocarcinoma cells. A) 3D image of a JEG-3 cell showing blue (nucleus), green (HLA-E), red (HLA-C), and yellow/orange potentially colocalized particles. B) Mask image of single cell (gray) shown in A. Cell outline was traced using differential interference contrast and its fluorescence image. C) 3D scatter plot of a single cell depicting the relationship between HLA-E (green asterisks) and HLA-C (red asterisks). Blue circles designate colocalized HLA-E and -C molecules. Total number of red, green, and colocalized spots per cell is quantified. D) Color-coded 3D scatter plot for Euclidean distance map of colocalized particles. The color scale indicates the distance between the centroids of colocalized pairs ranging from 10–165 nm (colocalization distance threshold d¼165 nm). The corresponding histogram represents colocalization distance on the x-axis and the number of colocalizations on the y-axis. Note that the grid for cellular dimensions uses micrometers.

    Techniques Used: Derivative Assay, Fluorescence

    FIG. 3. Localization of HLA-C, -E, and -G on the cell surface of ACH-3P and JEG-3 cells, determined by confocal microscopy analysis. Green and red indicate pairings as follows: HLA-G (green)/HLA-E (red), HLA-G (green)/HLA-C (red), and HLA-C (red)/HLA-E (green). Yellow/orange fluorescence reveals the potential colocalization of two antigens. 3D images were acquired in stacks, with z-direction step size 0.14 lm. Single-plane section of z-stack is shown in three directions as xy, yz, and zx. The cutting planes of the cell section are indicated by gray/pale horizontal and vertical lines. A representative single cell from each HLA group is shown. Bar ¼ 10 lm.
    Figure Legend Snippet: FIG. 3. Localization of HLA-C, -E, and -G on the cell surface of ACH-3P and JEG-3 cells, determined by confocal microscopy analysis. Green and red indicate pairings as follows: HLA-G (green)/HLA-E (red), HLA-G (green)/HLA-C (red), and HLA-C (red)/HLA-E (green). Yellow/orange fluorescence reveals the potential colocalization of two antigens. 3D images were acquired in stacks, with z-direction step size 0.14 lm. Single-plane section of z-stack is shown in three directions as xy, yz, and zx. The cutting planes of the cell section are indicated by gray/pale horizontal and vertical lines. A representative single cell from each HLA group is shown. Bar ¼ 10 lm.

    Techniques Used: Confocal Microscopy, Fluorescence

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    Article Snippet: .. Such image processing software includes, but is not limited to, YOLO (real-time object detection algorithm that can identify objects and draw bounding boxes in a single pass through the image), Faster R-CNN (A deep learning-based framework that detects objects by proposing regions of interest and refining their boundaries), Single Shot MultiBox Detector (Detects objects and their bounding boxes using a single forward pass of a convolutional neural network), OpenCV (An open-source computer vision library that includes functions for image processing and drawing bounding boxes, though typically combined with machine learning models for detection), and MATLAB Image Processing Toolbox (tools for detecting and marking objects or text regions with bounding boxes, suitable for academic and research purposes). ..

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    MathWorks Inc colocalization algorithm uses matlab software
    FIG. 1. <t>Colocalization</t> detection and quantification of HLA receptors on the cell surface of human trophoblast-derived choriocarcinoma cells. A) 3D image of a JEG-3 cell showing blue (nucleus), green (HLA-E), red (HLA-C), and yellow/orange potentially colocalized particles. B) Mask image of single cell (gray) shown in A. Cell outline was traced using differential interference contrast and its fluorescence image. C) 3D scatter plot of a single cell depicting the relationship between HLA-E (green asterisks) and HLA-C (red asterisks). Blue circles designate colocalized HLA-E and -C molecules. Total number of red, green, and colocalized spots per cell is quantified. D) Color-coded 3D scatter plot for Euclidean distance map of colocalized particles. The color scale indicates the distance between the centroids of colocalized pairs ranging from 10–165 nm (colocalization distance threshold d¼165 nm). The corresponding histogram represents colocalization distance on the x-axis and the number of colocalizations on the y-axis. Note that the grid for cellular dimensions uses micrometers.
    Colocalization Algorithm Uses Matlab Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/colocalization+algorithm+uses+matlab+software/Image+Processing+Toolbox/pm24006284-126-2-5
    Average 96 stars, based on 1 article reviews
    colocalization algorithm uses matlab software - by Bioz Stars, 2026-09
    96/100 stars
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    FIG. 1. Colocalization detection and quantification of HLA receptors on the cell surface of human trophoblast-derived choriocarcinoma cells. A) 3D image of a JEG-3 cell showing blue (nucleus), green (HLA-E), red (HLA-C), and yellow/orange potentially colocalized particles. B) Mask image of single cell (gray) shown in A. Cell outline was traced using differential interference contrast and its fluorescence image. C) 3D scatter plot of a single cell depicting the relationship between HLA-E (green asterisks) and HLA-C (red asterisks). Blue circles designate colocalized HLA-E and -C molecules. Total number of red, green, and colocalized spots per cell is quantified. D) Color-coded 3D scatter plot for Euclidean distance map of colocalized particles. The color scale indicates the distance between the centroids of colocalized pairs ranging from 10–165 nm (colocalization distance threshold d¼165 nm). The corresponding histogram represents colocalization distance on the x-axis and the number of colocalizations on the y-axis. Note that the grid for cellular dimensions uses micrometers.

    Journal: Biology of reproduction

    Article Title: Quantified colocalization reveals heterotypic histocompatibility class I antigen associations on trophoblast cell membranes: relevance for human pregnancy.

    doi: 10.1095/biolreprod.113.111963

    Figure Lengend Snippet: FIG. 1. Colocalization detection and quantification of HLA receptors on the cell surface of human trophoblast-derived choriocarcinoma cells. A) 3D image of a JEG-3 cell showing blue (nucleus), green (HLA-E), red (HLA-C), and yellow/orange potentially colocalized particles. B) Mask image of single cell (gray) shown in A. Cell outline was traced using differential interference contrast and its fluorescence image. C) 3D scatter plot of a single cell depicting the relationship between HLA-E (green asterisks) and HLA-C (red asterisks). Blue circles designate colocalized HLA-E and -C molecules. Total number of red, green, and colocalized spots per cell is quantified. D) Color-coded 3D scatter plot for Euclidean distance map of colocalized particles. The color scale indicates the distance between the centroids of colocalized pairs ranging from 10–165 nm (colocalization distance threshold d¼165 nm). The corresponding histogram represents colocalization distance on the x-axis and the number of colocalizations on the y-axis. Note that the grid for cellular dimensions uses micrometers.

    Article Snippet: Briefly, the colocalization algorithm uses MATLAB software (version R2010b with Image Processing Toolbox; MathWorks Inc., Natick, Massachusetts) and identifies punctate 3D blob-like features corresponding to fluorescent particles.

    Techniques: Derivative Assay, Fluorescence

    FIG. 3. Localization of HLA-C, -E, and -G on the cell surface of ACH-3P and JEG-3 cells, determined by confocal microscopy analysis. Green and red indicate pairings as follows: HLA-G (green)/HLA-E (red), HLA-G (green)/HLA-C (red), and HLA-C (red)/HLA-E (green). Yellow/orange fluorescence reveals the potential colocalization of two antigens. 3D images were acquired in stacks, with z-direction step size 0.14 lm. Single-plane section of z-stack is shown in three directions as xy, yz, and zx. The cutting planes of the cell section are indicated by gray/pale horizontal and vertical lines. A representative single cell from each HLA group is shown. Bar ¼ 10 lm.

    Journal: Biology of reproduction

    Article Title: Quantified colocalization reveals heterotypic histocompatibility class I antigen associations on trophoblast cell membranes: relevance for human pregnancy.

    doi: 10.1095/biolreprod.113.111963

    Figure Lengend Snippet: FIG. 3. Localization of HLA-C, -E, and -G on the cell surface of ACH-3P and JEG-3 cells, determined by confocal microscopy analysis. Green and red indicate pairings as follows: HLA-G (green)/HLA-E (red), HLA-G (green)/HLA-C (red), and HLA-C (red)/HLA-E (green). Yellow/orange fluorescence reveals the potential colocalization of two antigens. 3D images were acquired in stacks, with z-direction step size 0.14 lm. Single-plane section of z-stack is shown in three directions as xy, yz, and zx. The cutting planes of the cell section are indicated by gray/pale horizontal and vertical lines. A representative single cell from each HLA group is shown. Bar ¼ 10 lm.

    Article Snippet: Briefly, the colocalization algorithm uses MATLAB software (version R2010b with Image Processing Toolbox; MathWorks Inc., Natick, Massachusetts) and identifies punctate 3D blob-like features corresponding to fluorescent particles.

    Techniques: Confocal Microscopy, Fluorescence