Super-resolution of nodal and paranodal disruption in anti-pan-neurofascin-associated autoimmune nodopathy.

Introduction: In autoimmune nodopathies, autoantibodies target the nodes of Ranvier, impairing saltatory nerve conduction. Understanding the impact of autoantibody binding on protein assembly is crucial for gaining insights into the pathogenicity of different autoantibodies. We investigated nodal, paranodal, and cytoskeletal axonal proteins in teased fibers from a sural nerve biopsy of a patient with anti-pan-neurofascin autoantibodies.

Deep Learning-Driven Automated High-Content dSTORM Imaging with a scalable Open Source Toolkit.

Super-resolution microscopy offers the ability to visualize molecular structures in biological samples with unprecedented detail. However, the full potential of these techniques is often hindered by a lack of automated, user-independent workflows. Here, we present an open-source toolkit that automates dSTORM super-resolution microscopy using deep learning for segmentation and object detection.

A Blessing and a Curse: Remote Ligand Functionalization Modulates MLCT Relaxation in Group 6 Tricarbonyl Complexes.

We recently reported a molecular design for carbonylpyridine molybdenum(0) complexes that unlocks long-lived luminescent and photoactive charge-transfer states. Here, we translate this strategy to chromium(0), and tungsten(0) and report three fully characterized tricarbonyl metal(0) complexes featuring a tripodal ligand with a remote -butyl substituent in the backbone. All complexes show phosphorescence in the red to near-infrared spectral region from metal-to-ligand charge-transfer excited states.

tttrlib: modular software for integrating fluorescence spectroscopy, imaging, and molecular modeling.

Summary: We introduce software for reading, writing and processing fluorescence single-molecule and image spectroscopy data and developing analysis pipelines to unify various spectroscopic analysis tools. Our software can be used for processing multiple experiment types, e.g.