New: PatchFlux AI™ for precise cell analysis under controlled flow conditions

New: PatchFlux AI™ for precise cell analysis under controlled flow conditions

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.

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:

     

      • Erythrocyte deformability and membrane mechanics

      • Osmotic fragility

      • Cell adhesion under flow

      • RBC shape analysis and aggregation

      • Patch-clamp under controlled flow conditions

      • Pharmacological responses, dose-response relationships, and reversibility

     

    Most recently, Aachen University of Applied Sciences, in collaboration with HITEC ZANG, conducted several experiments to quantify osmotic fragility in red blood cells.

    The team investigated how aquaporins (AQP) influence the osmotic fragility of red blood cells. Using PatchFlux AI, they compared two modulators (HgCl₂ 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.

     

    Paper Diagramm | HITEC ZANG – Führender Anbieter für Laborreaktoren in der chemischen Verfahrenstechnik

     

    Non-parametric Bland–Altman plot comparing MCF₅₀ values obtained from the flow chamber and classical osmotic fragility methods. Points represent individual paired measurements (4 donors × 6 occasions) and are color-coded by donor. The y-axis represents the difference in MCF₅₀ values (Flow Chamber—Classical), while the x-axis shows the average of the two methods. The solid red line indicates the median bias (− 0.013), and the blue lines represent the 2.5th and 97.5th percentiles of the differences (− 0.055 and 0.030, respectively), serving as non-parametric limits of agreement.)

    From Research

    A novel AI-coupled flow chamber method quantifying erythrocyte osmotic fragility

    IPEK SEDA Firat, Özgür Alacayir, Till Kreutz et al. • Scientific Reports 16 • 2026

    DOI: 10.1038/s41598-026-38322-z

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