Simone Köhler

SpotMAX is an AI-driven framework for automated spot detection and quantification in microscopy data, outperforming existing tools and human annotators across diverse biological applications.

This study shows NPP-21/TPR is required for stronger spindle checkpoint in C. elegans germline cells through mechanisms involving PCH-2 concentration and Mad2 localization.

Microscopy Nodes enables 3D microscopy data visualization in Blender, supporting various formats and visualization modes for light and electron microscopy.

The paper investigates the timing and mechanism of crossover designation in C. elegans using advanced imaging techniques, revealing a multi-step, dynamic regulation process.

The paper identifies a conserved, disordered domain in SYP-4 that regulates crossover assurance and interference in meiosis by recruiting an E3 ligase.

This paper introduces a method to quantify intensity distribution in 3D and 2D microscopy data using spherical harmonics, demonstrating its application across various biological systems.

This paper introduces globLoc, a GPU-based global fitting algorithm for multi-channel single-molecule localization, improving 3D precision and color assignment in SMLM.