Lennart Müller, M.Sc., PhD student at the Institute of Neurophysiology,received the MESISIG Prize for Excellence and Trustworthiness poster award at the 9th International Congress on Neuropathic Pain (NeuPSIG), held from September 4 to 6, 2025, in Berlin, Germany. MESISIG stands for Methodology, Evidence Synthesis, and Implementation Special Interest Group. The prize recognizes abstract submissions that demonstrate a commitment to methodological excellence and the trustworthiness of research.
In his poster abstract, Lennart Müller, supervised by Univ.-Prof. Dr. Angelika Lampert and Jun.-Prof. Dr. Jenny Tigerholm presented his work titled “PyPatch – a transparent patch clamp analysis framework applied to erythromelalgia disease modelling.” This project introduces a new analysis framework developed in Python that enables more efficient and transparent evaluation of electrophysiological data. The PyPatch toolbox allows for the automated analysis of large datasets while placing particular emphasis on the detailed review and interpretation of results by its users.
The project used PyPatch for analyses of whole-cell patch-clamp measurements performed on human sensory neurons. These neurons were derived from induced pluripotent stem cells (hiPSCs) of a patient with erythromelalgia, a rare genetic pain disorder, and were compared to cells from healthy controls. With the help of PyPatch, Lennart Müller and his colleagues were able to quantify and model small electrophysiological differences, aiming to make these analyses more efficient and less dependent on individual researchers.
The accompanying photo shows Lennart Müller (middle) alongside Patrick Dougherty (right), Chair of NeuPSIG, and Franziska Denk (left), Management Committee Member, moments after receiving the MESISIG Prize in Berlin.
We congratulate Lennart Müller on this well-deserved recognition and his contribution to advancing transparent, more user-independent analysis in pain research to support reproducibility and FAIR data handing.
