Fluorescence confocal microscopy is a fundamental and widely used tool for biological, medical, and chemical research. It enables color-coded visualization of sample components, enhancing our understa...

Prof. Thomas Schlichthärle spricht über seine Arbeit als Professor für AI-guided Protein Design.

Single-walled carbon nanotubes (SWCNTs) are powerful building blocks for near-infrared (NIR) fluorescent biosensors. They can be chemically tailored to detect specific biomolecules. Their performance ...

Single-molecule localization microscopy (SMLM) has redefined optical imaging by enabling imaging beyond the diffraction limit, allowing for nanoscale investigation into cellular architecture and molec...

Direct STORM relies on robust fluorophore blinking; observations suggest that AlexaFluor647 underperforms when coupled to nanobodies, thereby undermining the advantages of nanobodies. We show that the...

Super-resolution fluorescence microscopy is a powerful method to image molecular processes that occur beyond the diffraction limit of light. Förster resonance energy transfer (FRET) is widely used to ...

Cell-surface protein glycosylation is a fundamental post-translational modification that plays a crucial role in membrane protein function and cellular behavior. However, elucidating the molecular spa...

Labeling the plasma membrane for advanced imaging remains a significant challenge. For time-lapse live cell imaging, probe internalization and photobleaching are major limitations affecting most membr...

A nanoscale 3D DNA tracing workflow visualizes Cohesin-dependent loops in single, structurally well-preserved cells. Computer simulations based on the tracing data give further insight into how Cohesi...

Extracting quantitative information on biomolecular oligomerisation with high resolution remains a significant challenge. Here, the authors propose SPINNA, a framework that compares nearest-neighbour ...

Goethe University Frankfurt am Main invites applications for the position of Professor (W3) in Organic Synthesis at the Faculty of Biochemistry, Ch...

Deep neural networks have led to significant advancements in microscopy image generation and analysis. In single-molecule localization based super-resolution microscopy, neural networks are capable of...

Abstract. Super-resolution microscopy techniques have accelerated scientific progress, enabling researchers to explore cellular structures and dynamics wit

The authors review MINFLUX super-resolution microscopy, outlining its advantages and limitations, recent progress, and an outlook for future developments.

Single particle profiling (SPP) is a unique methodology to study nanoscale bioparticles such as liposomes, lipid nanoparticles, extracellular vesicles, and lipoproteins in a single particle and high t...

The 4Pi-SIM microscope combines the benefits of structured illumination microscopy with 4Pi geometry for improved axial resolution, offering isotropic, multicolor super-resolution imaging of dynamic p...