{"id":4601,"date":"2025-09-28T06:33:50","date_gmt":"2025-09-28T04:33:50","guid":{"rendered":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/?p=4601"},"modified":"2025-10-14T10:17:05","modified_gmt":"2025-10-14T08:17:05","slug":"mikaia-mif-gallery","status":"publish","type":"post","link":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/","title":{"rendered":"MIKAIA mIF Cell Segmentation AI Gallery"},"content":{"rendered":"\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_83 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#Cell_Segmentation\" >Cell Segmentation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#Cell_Typing\" >Cell Typing<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#Available_downstream_spatial_analyses_in_MIKAIA%C2%AE\" >Available downstream spatial analyses in MIKAIA\u00ae<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Cell_Segmentation\"><\/span>Cell Segmentation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><a href=\"http:\/\/www.mikaia.ai\">MIKAIA<\/a>&#8216;s FL Cell Analysis App includes a flexible mIF cell segmentation AI with 3 modes:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Segment nuclei and dilate<\/strong>: User selects the nuclei marker (e.g., DAPI). The AI then segments the nuclei and applies a user-defined dilation radius.\u00a0 This allows for independent measurement of the expression of all selected markers in both the nucleus and the cytoplasm\/membrane compartment of each cell.<\/li>\n\n\n\n<li><strong>Segment membrane and nucleus<\/strong>: User selects (1) the nuclei marker (e.g., DAPI) and (2) one or multiple (!) cytoplasmic or membranous markers. The app then delineates both the  outer contour of the cells and nucleus.<\/li>\n\n\n\n<li><strong>Segment cell contours<\/strong>: User selects a single nuclear, cytoplasmic, or membrane marker. The app then delineates the outer contours of the cells, making this mode ideal for scenarios where no nuclei marker is available.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Cell_Typing\"><\/span>Cell Typing<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Once cells have been detected and marker expressions have been measured, the app offers various cell typing modes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>No cell typing<\/strong>: Users can create multiple annotations for each cell, with one annotation for each expressed marker.<\/li>\n\n\n\n<li><strong>Cell typing based on coexpression<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Custom cell lineage map<\/strong>:\u00a0User can provide cell lineage map, where they define various cell types and specify which markers are required to be positive (or negative) for each type.<\/li>\n\n\n\n<li><strong>Default cell typing<\/strong>:\u00a0If no lineage map is provided, the app will treat each permutation of markers as a distinct cell type by default.<\/li>\n\n\n\n<li><strong>Cell typing via unsupervised clustering<\/strong>: This mode employs unsupervised clustering techniques to categorize cells based on their marker expression profiles.<br><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n\t\t\t\n\t<style type=\"text\/css\">\n\t\t.slider-info-4596.bafg-slider-info .bafg-slider-title {\n\t\t\t\t\t\t\tfont-size:\n\t\t\t\t\t22px\t\t\t\t;\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4596.bafg-slider-info .bafg-slider-description {\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t\t\n\t\t\n\t\t.slider-info-4596.bafg-slider-info .bafg_slider_readmore_button {\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\ttext-align: center;\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4596.bafg-slider-info .bafg_slider_readmore_button:hover {\n\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t<\/style>\n\t\n\t\t\t<div class=\"bafg-twentytwenty-container slider-4596  \"\n\t\t\t\tbafg-orientation=\"horizontal\" bafg-default-offset=\"0.5\"\n\t\t\t\tbafg-before-label=\"Before\"\n\t\t\t\tbafg-after-label=\"After\" bafg-overlay=\"\"\n\t\t\t\tbafg-move-slider-on-hover=\"\"\n\t\t\t\tbafg-click-to-move=\"\">\n\n\t\t\t\t\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/Akoya-Opal7-Lung-Carcinoma-without-annos.jpg\" alt=\"\">\n\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/Akoya-Opal7-Lung-Carcinoma-with-annos.jpg\" alt=\"\">\n\n\t\t\t<\/div>\n\n\t\t\t\t<div class=\"bafg-slider-info-wraper\">\n\t\t<div style=\"\" class=\"slider-info-4596 bafg-slider-info\">\n\t\t\t\t\t\t\t<h2 class=\"bafg-slider-title\">Lung Carcinoma, scanned with Akoya, Opal7 assay<\/h2>\n\t\t\t\t\t\t<\/div>\n\t<\/div>\n\t\n\t\t\t<style type=\"text\/css\">\n\t\t\t\t\t\t\t\t\t\t\t<\/style>\n\t\t\t\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n\t\t\t\n\t<style type=\"text\/css\">\n\t\t.slider-info-4604.bafg-slider-info .bafg-slider-title {\n\t\t\t\t\t\t\tfont-size:\n\t\t\t\t\t22px\t\t\t\t;\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4604.bafg-slider-info .bafg-slider-description {\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t\t\n\t\t\n\t\t.slider-info-4604.bafg-slider-info .bafg_slider_readmore_button {\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\ttext-align: center;\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4604.bafg-slider-info .bafg_slider_readmore_button:hover {\n\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t<\/style>\n\t\n\t\t\t<div class=\"bafg-twentytwenty-container slider-4604  \"\n\t\t\t\tbafg-orientation=\"horizontal\" bafg-default-offset=\"0.5\"\n\t\t\t\tbafg-before-label=\"Before\"\n\t\t\t\tbafg-after-label=\"After\" bafg-overlay=\"1\"\n\t\t\t\tbafg-move-slider-on-hover=\"\"\n\t\t\t\tbafg-click-to-move=\"\">\n\n\t\t\t\t\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/Akoya-PhenoCycler-Fusion-16plex-Tonsil-without-annos.jpg\" alt=\"\">\n\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/Akoya-PhenoCycler-Fusion-16plex-Tonsil-with-annos.jpg\" alt=\"\">\n\n\t\t\t<\/div>\n\n\t\t\t\t<div class=\"bafg-slider-info-wraper\">\n\t\t<div style=\"\" class=\"slider-info-4604 bafg-slider-info\">\n\t\t\t\t\t\t\t<h2 class=\"bafg-slider-title\">16-plex Tonsil, created with Akoya PhenoCycler Fusion<\/h2>\n\t\t\t\t\t\t<\/div>\n\t<\/div>\n\t\n\t\t\t<style type=\"text\/css\">\n\t\t\t\t\t\t\t\t\t\t\t<\/style>\n\t\t\t\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n\t\t\t\n\t<style type=\"text\/css\">\n\t\t.slider-info-4605.bafg-slider-info .bafg-slider-title {\n\t\t\t\t\t\t\tfont-size:\n\t\t\t\t\t22px\t\t\t\t;\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4605.bafg-slider-info .bafg-slider-description {\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t\t\n\t\t\n\t\t.slider-info-4605.bafg-slider-info .bafg_slider_readmore_button {\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\ttext-align: center;\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4605.bafg-slider-info .bafg_slider_readmore_button:hover {\n\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t<\/style>\n\t\n\t\t\t<div class=\"bafg-twentytwenty-container slider-4605  \"\n\t\t\t\tbafg-orientation=\"horizontal\" bafg-default-offset=\"0.5\"\n\t\t\t\tbafg-before-label=\"Before\"\n\t\t\t\tbafg-after-label=\"After\" bafg-overlay=\"1\"\n\t\t\t\tbafg-move-slider-on-hover=\"\"\n\t\t\t\tbafg-click-to-move=\"\">\n\n\t\t\t\t\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/Akoya-Pancreas-2-without-annos.jpg\" alt=\"\">\n\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/Akoya-Pancreas-2-with-annos-filled.jpg\" alt=\"\">\n\n\t\t\t<\/div>\n\n\t\t\t\t<div class=\"bafg-slider-info-wraper\">\n\t\t<div style=\"\" class=\"slider-info-4605 bafg-slider-info\">\n\t\t\t\t\t\t\t<h2 class=\"bafg-slider-title\">Pancreas 12-plex, scanned with Akoya PhenoCycler Fusion<\/h2>\n\t\t\t\t\t\t<\/div>\n\t<\/div>\n\t\n\t\t\t<style type=\"text\/css\">\n\t\t\t\t\t\t\t\t\t\t\t<\/style>\n\t\t\t\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Available_downstream_spatial_analyses_in_MIKAIA%C2%AE\"><\/span>Available downstream spatial analyses in MIKAIA<sup>\u00ae<\/sup><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The mIF Cell segmentation AI is only the first step. After cells have been detected and typed, a broad range of downstream analyses is available:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The <strong>Cell-Cell Connections App<\/strong> (or cell-cell contacts) yields statistics on direct cell neighborhoods.<\/li>\n\n\n\n<li>The <strong>Proximity Analysis App<\/strong> finds and visualizes the distance between a specified cell type and a target object (e.g., to a tumor interface) in relation to another cell type. This functionality allows users to yield the mean distance between cell types.<\/li>\n\n\n\n<li>The <strong>Cellular Neighborhood App<\/strong> iterates over each cell and then quantifies the cell composition within a defined neighborhood. This neighborhood can be specified by a radius (e.g., 200 \u00b5m) and\/or by utilizing k-nearest neighbors. The app provides a detailed breakdown of the average neighborhood composition for each cell type, based on varying distances, e.g., in steps of 10 or 25 \u00b5m.<\/li>\n\n\n\n<li>The <strong>Grid Analysis App<\/strong> provides statistics on spatial heterogeneity by overlaying a virtual grid onto the analyzed area. For each tile within the grid, the app computes a user-selected metric, such as cell abundance, the ratio of different cell types, and other relevant measures.<\/li>\n\n\n\n<li>The <strong>Spatial Clustering App<\/strong> groups nearby cells of the same type into clusters and then yields statistics in the form of a histogram on whether few large or many small clusters exist.<\/li>\n\n\n\n<li>The <strong>Density Heatmap<\/strong> functionality allows overlaying a heatmap that visualizes the local abundance of selected annotation objects (e.g., one or multiple cell types). Users can interactively set up the heatmap&#8217;s sensitivity, bin size, opacity, and other attributes.<\/li>\n<\/ul>\n\n\n\n<p>An overview of this portfolio of spatial analyses is demonstrated with short videos in our <a href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/overview-of-spatial-analysis-apps-for-mif-slides\/\">Overview of MIKAIA\u2019s Spatial Analysis Apps for Multiplexed  Immunofluorescence Slides<\/a>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n\t\t\t\n\t<style type=\"text\/css\">\n\t\t.slider-info-4608.bafg-slider-info .bafg-slider-title {\n\t\t\t\t\t\t\tfont-size:\n\t\t\t\t\t22px\t\t\t\t;\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4608.bafg-slider-info .bafg-slider-description {\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t\t\n\t\t\n\t\t.slider-info-4608.bafg-slider-info .bafg_slider_readmore_button {\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\ttext-align: center;\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4608.bafg-slider-info .bafg_slider_readmore_button:hover {\n\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t<\/style>\n\t\n\t\t\t<div class=\"bafg-twentytwenty-container slider-4608  \"\n\t\t\t\tbafg-orientation=\"horizontal\" bafg-default-offset=\"0.5\"\n\t\t\t\tbafg-before-label=\"Before\"\n\t\t\t\tbafg-after-label=\"After\" bafg-overlay=\"1\"\n\t\t\t\tbafg-move-slider-on-hover=\"\"\n\t\t\t\tbafg-click-to-move=\"\">\n\n\t\t\t\t\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/FL-TMA-without-annos.jpg\" alt=\"\">\n\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/FL-TMA-with-annos-2.jpg\" alt=\"\">\n\n\t\t\t<\/div>\n\n\t\t\t\t<div class=\"bafg-slider-info-wraper\">\n\t\t<div style=\"\" class=\"slider-info-4608 bafg-slider-info\">\n\t\t\t\t\t\t\t<h2 class=\"bafg-slider-title\">Breast TMA stained for PAICS, scanned with Zeiss (TMA dearraying)<\/h2>\n\t\t\t\t\t\t<\/div>\n\t<\/div>\n\t\n\t\t\t<style type=\"text\/css\">\n\t\t\t\t\t\t\t\t\t\t\t<\/style>\n\t\t\t\n\n\n\n<p>Source: Picard, D. (2022). Human breast tissue microarray stained for PAICS [Data set]. Zenodo.&nbsp;<a href=\"https:\/\/doi.org\/10.5281\/zenodo.7149674\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.5281\/zenodo.7149674<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n\t\t\t\n\t<style type=\"text\/css\">\n\t\t.slider-info-4618.bafg-slider-info .bafg-slider-title {\n\t\t\t\t\t\t\tfont-size:\n\t\t\t\t\t22px\t\t\t\t;\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4618.bafg-slider-info .bafg-slider-description {\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t\t\n\t\t\n\t\t.slider-info-4618.bafg-slider-info .bafg_slider_readmore_button {\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\ttext-align: center;\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4618.bafg-slider-info .bafg_slider_readmore_button:hover {\n\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t<\/style>\n\t\n\t\t\t<div class=\"bafg-twentytwenty-container slider-4618  \"\n\t\t\t\tbafg-orientation=\"horizontal\" bafg-default-offset=\"0.5\"\n\t\t\t\tbafg-before-label=\"Before\"\n\t\t\t\tbafg-after-label=\"After\" bafg-overlay=\"\"\n\t\t\t\tbafg-move-slider-on-hover=\"\"\n\t\t\t\tbafg-click-to-move=\"\">\n\n\t\t\t\t\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/FL-TMA-breast-PAICS-without-annos.jpg\" alt=\"\">\n\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/FL-TMA-breast-PAICS-with-annos.jpg\" alt=\"\">\n\n\t\t\t<\/div>\n\n\t\t\t\t<div class=\"bafg-slider-info-wraper\">\n\t\t<div style=\"\" class=\"slider-info-4618 bafg-slider-info\">\n\t\t\t\t\t\t\t<h2 class=\"bafg-slider-title\">Breast TMA stained for PAICS, scanned with Zeiss<\/h2>\n\t\t\t\t\t\t<\/div>\n\t<\/div>\n\t\n\t\t\t<style type=\"text\/css\">\n\t\t\t\t\t\t\t\t\t\t\t<\/style>\n\t\t\t\n\n\n\n<p>Source: Picard, D. (2022). Human breast tissue microarray stained for PAICS [Data set]. Zenodo.&nbsp;<a href=\"https:\/\/doi.org\/10.5281\/zenodo.7149674\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.5281\/zenodo.7149674<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n\t\t\t\n\t<style type=\"text\/css\">\n\t\t.slider-info-4620.bafg-slider-info .bafg-slider-title {\n\t\t\t\t\t\t\tfont-size:\n\t\t\t\t\t22px\t\t\t\t;\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4620.bafg-slider-info .bafg-slider-description {\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t\t\n\t\t\n\t\t.slider-info-4620.bafg-slider-info .bafg_slider_readmore_button {\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\ttext-align: center;\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4620.bafg-slider-info .bafg_slider_readmore_button:hover {\n\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t<\/style>\n\t\n\t\t\t<div class=\"bafg-twentytwenty-container slider-4620  \"\n\t\t\t\tbafg-orientation=\"horizontal\" bafg-default-offset=\"0.5\"\n\t\t\t\tbafg-before-label=\"Before\"\n\t\t\t\tbafg-after-label=\"After\" bafg-overlay=\"\"\n\t\t\t\tbafg-move-slider-on-hover=\"\"\n\t\t\t\tbafg-click-to-move=\"\">\n\n\t\t\t\t\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/Olympus-3plex-without-annos.jpg\" alt=\"\">\n\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/Olympus-3plex-with-annos.jpg\" alt=\"\">\n\n\t\t\t<\/div>\n\n\t\t\t\t<div class=\"bafg-slider-info-wraper\">\n\t\t<div style=\"\" class=\"slider-info-4620 bafg-slider-info\">\n\t\t\t\t\t\t\t<h2 class=\"bafg-slider-title\">Olympus 3plex with DAPI NeuN and IBA markers<\/h2>\n\t\t\t\t\t\t<\/div>\n\t<\/div>\n\t\n\t\t\t<style type=\"text\/css\">\n\t\t\t\t\t\t\t\t\t\t\t<\/style>\n\t\t\t\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>Source: Fraunhofer ITEM-R, <a href=\"https:\/\/www.item.fraunhofer.de\/de\/f-e-kompetenzen\/tumorforschung\/pedra.html\">PEDRA<\/a><\/p>\n\n\n\n\t\t\t\n\t<style type=\"text\/css\">\n\t\t.slider-info-4621.bafg-slider-info .bafg-slider-title {\n\t\t\t\t\t\t\tfont-size:\n\t\t\t\t\t22px\t\t\t\t;\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4621.bafg-slider-info .bafg-slider-description {\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t\t\n\t\t\n\t\t.slider-info-4621.bafg-slider-info .bafg_slider_readmore_button {\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\ttext-align: center;\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\n\t\t.slider-info-4621.bafg-slider-info .bafg_slider_readmore_button:hover {\n\n\t\t\t\n\t\t\t\n\t\t\t\t\t}\n\t<\/style>\n\t\n\t\t\t<div class=\"bafg-twentytwenty-container slider-4621  \"\n\t\t\t\tbafg-orientation=\"horizontal\" bafg-default-offset=\"0.5\"\n\t\t\t\tbafg-before-label=\"Before\"\n\t\t\t\tbafg-after-label=\"After\" bafg-overlay=\"\"\n\t\t\t\tbafg-move-slider-on-hover=\"\"\n\t\t\t\tbafg-click-to-move=\"\">\n\n\t\t\t\t\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/PEDRA-assay-5plex-without-annos.jpg\" alt=\"\">\n\t\t\t\t<img class=\"skip-lazy\" data-skip-lazy\t\t\t\t\tsrc=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/PEDRA-assay-5plex-with-annos.jpg\" alt=\"\">\n\n\t\t\t<\/div>\n\n\t\t\t\t<div class=\"bafg-slider-info-wraper\">\n\t\t<div style=\"\" class=\"slider-info-4621 bafg-slider-info\">\n\t\t\t\t\t\t\t<h2 class=\"bafg-slider-title\">Patient-Derived Ex-Vivo Drug Response Assays<\/h2>\n\t\t\t\t\t\t<\/div>\n\t<\/div>\n\t\n\t\t\t<style type=\"text\/css\">\n\t\t\t\t\t\t\t\t\t\t\t<\/style>\n\t\t\t\n","protected":false},"excerpt":{"rendered":"<p>This gallery highlights MIKAIA&#8217;s mIF Cell Segmentation in the FL Cell Analysis App, featuring various examples and an overview of the AI&#8217;s three segmentation modes and various cell typing options.<\/p>\n","protected":false},"author":2,"featured_media":4623,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[35,28,24],"tags":[107,7,29],"coauthors":[56],"class_list":["post-4601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-life-science","category-mikaia-university","category-spatial-biology","tag-gallery","tag-mikaia","tag-mikaia-app-note"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MIKAIA mIF Cell Segmentation AI Gallery - SMART SENSING insights<\/title>\n<meta name=\"description\" content=\"Explore MIKAIA&#039;s mIF Cell Segmentation gallery for advanced cell detection, typing, and spatial analysis in complex tissue environments.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MIKAIA mIF Cell Segmentation AI Gallery - SMART SENSING insights\" \/>\n<meta property=\"og:description\" content=\"Explore MIKAIA&#039;s mIF Cell Segmentation gallery for advanced cell detection, typing, and spatial analysis in complex tissue environments.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/\" \/>\n<meta property=\"og:site_name\" content=\"SMART SENSING insights\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/FraunhoferIIS\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-28T04:33:50+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-10-14T08:17:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/MIKAIA_FL_Slider.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1214\" \/>\n\t<meta property=\"og:image:height\" content=\"682\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Volker Bruns\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Volker Bruns\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/\"},\"author\":{\"name\":\"Volker Bruns\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#\\\/schema\\\/person\\\/fd37d35c4d3576840cf0bc3f74eafb98\"},\"headline\":\"MIKAIA mIF Cell Segmentation AI Gallery\",\"datePublished\":\"2025-09-28T04:33:50+00:00\",\"dateModified\":\"2025-10-14T08:17:05+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/\"},\"wordCount\":598,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2025\\\/09\\\/MIKAIA_FL_Slider.jpg\",\"keywords\":[\"Gallery\",\"MIKAIA\u00ae\",\"MIKAIA\u00ae App Note\"],\"articleSection\":[\"Life Science\",\"MIKAIA University\",\"Spatial Biology\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/\",\"name\":\"MIKAIA mIF Cell Segmentation AI Gallery - SMART SENSING insights\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2025\\\/09\\\/MIKAIA_FL_Slider.jpg\",\"datePublished\":\"2025-09-28T04:33:50+00:00\",\"dateModified\":\"2025-10-14T08:17:05+00:00\",\"description\":\"Explore MIKAIA's mIF Cell Segmentation gallery for advanced cell detection, typing, and spatial analysis in complex tissue environments.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/#primaryimage\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2025\\\/09\\\/MIKAIA_FL_Slider.jpg\",\"contentUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2025\\\/09\\\/MIKAIA_FL_Slider.jpg\",\"width\":1214,\"height\":682,\"caption\":\"example of one of the before and after pictures in MIKAIA's mIF Cell Segmentation gallery\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/mikaia-mif-gallery\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"MIKAIA mIF Cell Segmentation AI Gallery\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#website\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/\",\"name\":\"SMART SENSING insights\",\"description\":\"learn more about our focus research areas sensor technology, electronics, and artificial intelligence\",\"publisher\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#organization\",\"name\":\"Fraunhofer IIS\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Fraunhofer-IIS-1.png\",\"contentUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Fraunhofer-IIS-1.png\",\"width\":826,\"height\":299,\"caption\":\"Fraunhofer IIS\"},\"image\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/FraunhoferIIS\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/fraunhofer-iis\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#\\\/schema\\\/person\\\/fd37d35c4d3576840cf0bc3f74eafb98\",\"name\":\"Volker Bruns\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/cropped-cropped-Bruns_Volker_DSC1679_Pulkert-scaled-1-96x96.jpg6283dd75b937ac114f8ae92ee4dbfc95\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/cropped-cropped-Bruns_Volker_DSC1679_Pulkert-scaled-1-96x96.jpg\",\"contentUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/cropped-cropped-Bruns_Volker_DSC1679_Pulkert-scaled-1-96x96.jpg\",\"caption\":\"Volker Bruns\"},\"description\":\"Volker is a digital pathology and spatial biology enthusiast with a computer science background. Volker and his team develop commercial image analysis software for digital pathology and offer contract development, as well as image analysis as a service in the life sciences.\",\"sameAs\":[\"https:\\\/\\\/orcid.org\\\/0000-0001-7693-3542\",\"https:\\\/\\\/www.linkedin.com\\\/in\\\/volker-bruns\\\/\",\"https:\\\/\\\/www.youtube.com\\\/playlist?list=PL1xbox4kZP0OL7PskwG_xYgmu9iV_N5Fd\"],\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/author\\\/volker-brunsiis-fraunhofer-de\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"MIKAIA mIF Cell Segmentation AI Gallery - SMART SENSING insights","description":"Explore MIKAIA's mIF Cell Segmentation gallery for advanced cell detection, typing, and spatial analysis in complex tissue environments.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/","og_locale":"en_US","og_type":"article","og_title":"MIKAIA mIF Cell Segmentation AI Gallery - SMART SENSING insights","og_description":"Explore MIKAIA's mIF Cell Segmentation gallery for advanced cell detection, typing, and spatial analysis in complex tissue environments.","og_url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/","og_site_name":"SMART SENSING insights","article_publisher":"https:\/\/www.facebook.com\/FraunhoferIIS","article_published_time":"2025-09-28T04:33:50+00:00","article_modified_time":"2025-10-14T08:17:05+00:00","og_image":[{"width":1214,"height":682,"url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/MIKAIA_FL_Slider.jpg","type":"image\/jpeg"}],"author":"Volker Bruns","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Volker Bruns","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#article","isPartOf":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/"},"author":{"name":"Volker Bruns","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#\/schema\/person\/fd37d35c4d3576840cf0bc3f74eafb98"},"headline":"MIKAIA mIF Cell Segmentation AI Gallery","datePublished":"2025-09-28T04:33:50+00:00","dateModified":"2025-10-14T08:17:05+00:00","mainEntityOfPage":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/"},"wordCount":598,"commentCount":0,"publisher":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#organization"},"image":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#primaryimage"},"thumbnailUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/MIKAIA_FL_Slider.jpg","keywords":["Gallery","MIKAIA\u00ae","MIKAIA\u00ae App Note"],"articleSection":["Life Science","MIKAIA University","Spatial Biology"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/","name":"MIKAIA mIF Cell Segmentation AI Gallery - SMART SENSING insights","isPartOf":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#website"},"primaryImageOfPage":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#primaryimage"},"image":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#primaryimage"},"thumbnailUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/MIKAIA_FL_Slider.jpg","datePublished":"2025-09-28T04:33:50+00:00","dateModified":"2025-10-14T08:17:05+00:00","description":"Explore MIKAIA's mIF Cell Segmentation gallery for advanced cell detection, typing, and spatial analysis in complex tissue environments.","breadcrumb":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#primaryimage","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/MIKAIA_FL_Slider.jpg","contentUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2025\/09\/MIKAIA_FL_Slider.jpg","width":1214,"height":682,"caption":"example of one of the before and after pictures in MIKAIA's mIF Cell Segmentation gallery"},{"@type":"BreadcrumbList","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/mikaia-mif-gallery\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/"},{"@type":"ListItem","position":2,"name":"MIKAIA mIF Cell Segmentation AI Gallery"}]},{"@type":"WebSite","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#website","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/","name":"SMART SENSING insights","description":"learn more about our focus research areas sensor technology, electronics, and artificial intelligence","publisher":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#organization","name":"Fraunhofer IIS","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#\/schema\/logo\/image\/","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/06\/Fraunhofer-IIS-1.png","contentUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/06\/Fraunhofer-IIS-1.png","width":826,"height":299,"caption":"Fraunhofer IIS"},"image":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/FraunhoferIIS","https:\/\/www.linkedin.com\/company\/fraunhofer-iis"]},{"@type":"Person","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#\/schema\/person\/fd37d35c4d3576840cf0bc3f74eafb98","name":"Volker Bruns","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/05\/cropped-cropped-Bruns_Volker_DSC1679_Pulkert-scaled-1-96x96.jpg6283dd75b937ac114f8ae92ee4dbfc95","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/05\/cropped-cropped-Bruns_Volker_DSC1679_Pulkert-scaled-1-96x96.jpg","contentUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/05\/cropped-cropped-Bruns_Volker_DSC1679_Pulkert-scaled-1-96x96.jpg","caption":"Volker Bruns"},"description":"Volker is a digital pathology and spatial biology enthusiast with a computer science background. Volker and his team develop commercial image analysis software for digital pathology and offer contract development, as well as image analysis as a service in the life sciences.","sameAs":["https:\/\/orcid.org\/0000-0001-7693-3542","https:\/\/www.linkedin.com\/in\/volker-bruns\/","https:\/\/www.youtube.com\/playlist?list=PL1xbox4kZP0OL7PskwG_xYgmu9iV_N5Fd"],"url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/author\/volker-brunsiis-fraunhofer-de\/"}]}},"_links":{"self":[{"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/posts\/4601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/comments?post=4601"}],"version-history":[{"count":14,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/posts\/4601\/revisions"}],"predecessor-version":[{"id":4645,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/posts\/4601\/revisions\/4645"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/media\/4623"}],"wp:attachment":[{"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/media?parent=4601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/categories?post=4601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/tags?post=4601"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/coauthors?post=4601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}