Scientific Publications

Electron Paramagnetic Resonance (EPR) distance measurements provide detailed structural and dynamic insights into biomolecules relevant to drug discovery. Despite their potential, broader adoption has been limited by constraints in sensitivity, throughput, and integration into routine pharmaceutical workflows.

This work evaluates how recent advancements in EPR hardware, software, and experimental methodologies enhance sensitivity and efficiency, positioning EPR as a more practical and scalable tool for biomolecular analysis.

We assess improvements across instrumentation, computational tools, and experimental protocols, examining their combined impact on measurement performance and throughput in representative biomolecular systems relevant to pharmaceutical and biotechnology applications.

EPR spectroscopy has become an important tool in structural biology, particularly for probing biomolecular dynamics through distance measurements. However, its broader use remains limited due to complex experimental setups, specialized expertise requirements, and low-throughput data acquisition.

This study investigates how integrated advancements in EPR technology can reduce experimental complexity, improve sensitivity, and expand accessibility for non-specialist users in structural biology workflows.

We analyse a system combining a superconducting microwave resonator with automated routines for sample characterization, experiment setup, and data analysis, alongside optimized acquisition schemes to evaluate gains in sensitivity, efficiency, and usability.

Nanoscale distance measurements using pulsed EPR techniques have long enabled the study of complex biomolecular systems by providing distributions between paramagnetic centers. Despite their robustness, practical limitations in efficiency and usability have restricted widespread adoption.

This work examines how automation and methodological enhancements to established EPR distance techniques, particularly DEER, can improve sensitivity and streamline workflows to broaden accessibility.

We evaluate a custom hardware and software platform incorporating automated experimental enhancements, sample handling, and data processing routines, assessing their impact on throughput, sensitivity, and reduction of user intervention.

EPR spectroscopy is a powerful method for obtaining biophysical information from diverse biological systems, particularly through nanoscale distance measurements. However, its widespread application has been constrained by complex instrumentation, time-intensive setup, and long acquisition times.

This paper explores how innovations in EPR science and engineering can overcome these barriers, enabling rapid, high-sensitivity measurements on low-concentration biological samples.

We analyse an integrated approach combining hardware miniaturization, methodological optimization, and automated data acquisition to evaluate performance improvements in sensitivity, sample efficiency, and experimental duration across representative biomolecular samples.