{"id":10045,"date":"2026-08-03T11:57:33","date_gmt":"2026-08-03T09:57:33","guid":{"rendered":"https:\/\/www.hitec-zang.de\/?p=10045"},"modified":"2026-08-10T11:24:59","modified_gmt":"2026-08-10T09:24:59","slug":"neues-produkt-fuer-praezise-zellanalysen-unter-kontrollierten-flussbedingungen-patchflux-ai","status":"publish","type":"post","link":"https:\/\/www.hitec-zang.de\/en\/neues-produkt-fuer-praezise-zellanalysen-unter-kontrollierten-flussbedingungen-patchflux-ai\/","title":{"rendered":"New: PatchFlux AI\u2122 for precise cell analysis under controlled flow conditions"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"10045\" class=\"elementor elementor-10045\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-29d723f e-flex e-con-boxed e-con e-parent\" data-id=\"29d723f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6d05955f elementor-widget elementor-widget-text-editor\" data-id=\"6d05955f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><\/p>\n<p class=\"wp-block-paragraph\">PatchFlux AI was developed as part of a collaborative project. It is a microfluidic system specifically designed to precisely study cells under defined flow conditions. Researchers can precisely control shear stress, temperature, pH, and medium changes, thereby realistically simulating physiological or pathological conditions.<\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">Thanks to the integrated high-precision thermostat, the temperature remains stable even during long-term experiments. Shear profiles, exposure duration, and media exchange can all be set via software control and reproduced consistently. This makes PatchFlux AI especially suitable for studies on:<\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\"><\/ul>\n<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\">\n<li>Erythrocyte deformability and membrane mechanics<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\">\n<li>Osmotic fragility<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\">\n<li>Cell adhesion under flow<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\">\n<li>RBC shape analysis and aggregation<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\">\n<li>Patch-clamp under controlled flow conditions<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\">\n<li>Pharmacological responses, dose-response relationships, and reversibility<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n<p>Most recently, Aachen University of Applied Sciences, in collaboration with HITEC ZANG, conducted several experiments to quantify osmotic fragility in red blood cells.<\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">The team investigated how aquaporins (AQP) influence the osmotic fragility of red blood cells. Using PatchFlux AI, they compared two modulators (HgCl\u2082 and LPS) and contrasted their new flow-based approach with the classical method for measuring osmotic fragility. The results speak for themselves: PatchFlux AI delivers precise, robust measurements and provides additional insights through its proprietary, AI-powered suite for analyzing and monitoring erythrocyte morphology.<\/p>\n<p>\u00a0<\/p>\n<p><\/p>\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"578\" class=\"wp-image-10191\" src=\"https:\/\/www.hitec-zang.de\/wp-content\/uploads\/2026\/08\/Paper-Diagramm-1024x578.png\" alt=\"| \u2013 F\u00fchrender Anbieter f\u00fcr Laborreaktoren in der chemischen Verfahrenstechnik\" title=\"| \u2013 F\u00fchrender Anbieter f\u00fcr Laborreaktoren in der chemischen Verfahrenstechnik\" srcset=\"https:\/\/www.hitec-zang.de\/wp-content\/uploads\/2026\/08\/Paper-Diagramm-1024x578.png 1024w, https:\/\/www.hitec-zang.de\/wp-content\/uploads\/2026\/08\/Paper-Diagramm-300x169.png 300w, https:\/\/www.hitec-zang.de\/wp-content\/uploads\/2026\/08\/Paper-Diagramm-768x434.png 768w, https:\/\/www.hitec-zang.de\/wp-content\/uploads\/2026\/08\/Paper-Diagramm-18x10.png 18w, https:\/\/www.hitec-zang.de\/wp-content\/uploads\/2026\/08\/Paper-Diagramm.png 1500w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\n<p>\u00a0<\/p>\n<figcaption class=\"wp-element-caption\">Non-parametric Bland\u2013Altman plot comparing MCF\u2085\u2080 values obtained from the flow chamber and classical osmotic fragility methods. Points represent individual paired measurements (4 donors\u2009\u00d7\u20096 occasions) and are color-coded by donor. The y-axis represents the difference in MCF\u2085\u2080 values (Flow Chamber\u2014Classical), while the x-axis shows the average of the two methods. The solid red line indicates the median bias (\u2212\u20090.013), and the blue lines represent the 2.5th and 97.5th percentiles of the differences (\u2212\u20090.055 and 0.030, respectively), serving as non-parametric limits of agreement.)<\/figcaption>\n<\/figure>\n<p><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-096d830 e-con e-atomic-element e-flexbox-base e-default-div\" data-id=\"096d830\" data-element_type=\"e-flexbox\" data-e-type=\"e-flexbox\" data-interaction-id=\"096d830\">\n    <div data-dce-background-image-url=\"https:\/\/www.hitec-zang.de\/wp-content\/uploads\/2024\/09\/cb9c62625e3596e75b706503758f5de8.svg\" class=\"elementor-element elementor-element-94e78cd e-flex e-con-boxed e-con e-parent\" data-id=\"94e78cd\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-5945c12 e-con-full e-flex e-con e-child\" data-id=\"5945c12\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f41e9bb elementor-widget elementor-widget-heading\" data-id=\"f41e9bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">From Research<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3ffd6cc elementor-widget elementor-widget-text-editor\" data-id=\"3ffd6cc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>A novel AI-coupled flow chamber method quantifying erythrocyte osmotic fragility<\/strong><\/p>\n<p><em>IPEK SEDA Firat, \u00d6zg\u00fcr Alacayir, Till Kreutz et al. \u2022 <\/em>Scientific Reports 16 \u2022 2026<\/p>\n<p>DOI: <a href=\"https:\/\/doi.org\/10.1038\/s41598-026-38322-z\" target=\"_blank\" rel=\"noopener\">10.1038\/s41598-026-38322-z<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\n<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>In einem Verbundprojekt wurde das PatchFlux AI entwickelt. Ein mikrofluidisches System, das speziell daf\u00fcr entwickelt wurde, Zellen unter definierten Flussbedingungen pr\u00e4zise zu untersuchen. Forschende k\u00f6nnen Scherspannung, Temperatur, pH-Wert und Medienwechsel exakt steuern und so physiologische oder pathologische Bedingungen realit\u00e4tsnah nachbilden. Dank des integrierten Hochpr\u00e4zisions-Thermostats bleibt die Temperatur auch in Langzeitversuchen stabil. Scherprofile, Expositionsdauer und Medienwechsel [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":10219,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[21,17],"tags":[],"class_list":["post-10045","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zellkultur-und-fermentersysteme","category-automatisierung"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/posts\/10045","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/comments?post=10045"}],"version-history":[{"count":11,"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/posts\/10045\/revisions"}],"predecessor-version":[{"id":10220,"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/posts\/10045\/revisions\/10220"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/media\/10219"}],"wp:attachment":[{"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/media?parent=10045"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/categories?post=10045"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hitec-zang.de\/en\/wp-json\/wp\/v2\/tags?post=10045"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}