Biology subjects

Paetzold, J.

Publications and source records attributed to Paetzold, J..

4 recordsLinked to original sources

bioRxiv2026

BaSiCPy: Scalable and Robust Shading Correction for Optical Microscopy Images

Quantitative fluorescence microscopy is frequently confounded by spatially varying illumination and temporal intensity drift. Although BaSiC is a widely adopted retrospective correction method, it can fail when foreground content is strongly correlated across images--a common regime in time-lapse, tiled and volumetric acquisitions--and its application often requires manual parameter tuning that limits reproducibility and scalability. We introduce BaSiCPy, a foreground-aware implementation of BaSiC that improves illumination profile estimation under correlated foreground structures, provides automatic hyperparameter selection and accelerates large-scale processing through GPU support. BaSiCPy is distributed as an open-source Python package with graphical and programmatic interfaces, facilitating integration into contemporary bioimage analysis workflows.

bioengineering↗

bioRxiv2025

Leonardo: a toolset to correct sample-induced artifacts in light sheet microscopy images

Selective plane illumination microscopy (SPIM, also known as light sheet fluorescence microscopy) is the method of choice for studying morphogenesis and function in biological specimens over extended periods, as it permits gentle and rapid volumetric imaging. In inhomogeneous samples, however, sample-induced artifacts, including light absorption, scattering, and refraction, can impact the image quality, particularly as the focal plane gets deeper into the sample. Here, we present Leonardo, the first toolbox designed to address the major sample-induced artifacts by using two modules: (1) DeStripe removes stripe artifacts in SPIM caused by light absorption while preserving fine sample structures; (2) Fuse reconstructs a single high-quality image from dualsided illumination and/or dual-sided detection, while eliminating blur and optical distortions caused by light scattering and refraction. The efficacy of Leonardo is validated on a wide range of biological samples, from minimally invasive experiments on sensitive specimens (translucent embryonic and optically opaque larval zebrafish) to cleared mouse samples up to two centimeters in size. We provide model code and a Napari-based graphical user interface, enabling the SPIM community to easily apply Leonardo to advance light sheet imaging of inhomogeneous and complex specimens.

bioinformatics↗

bioRxiv2024

Large-scale infra-slow dynamics of extracellular potentials linked to synchronous states revealed by graphene neural probes

Infra-slow (<0.5 Hz) brain dynamics reflect homeostatic and neuromodulatory processes that modulate neuronal excitability and shape faster oscillations across brain regions. Infra-slow brain activity is typically inferred from magnetic or optical imaging, but these methods are limited in temporal resolution and compatibility with unconstrained behavior. Infra-slow local field potentials (isLFPs) could provide a direct measure of infra-slow network dynamics, but have remained poorly characterized due to the absence of scalable, DC-coupled recording methods. Here, we introduce DC-coupled electrophysiological imaging based on arrays of up to 512 multiplexed graphene transistors enabling stable, high-density recordings across cortical regions and cortical layers in freely moving rats. We developed an analytical framework for the analysis of wide-band LFP, revealing that synchronous oscillatory states of variable duration and spatial scale are consistently linked to topographically and translaminarly structured DC potential shifts. We propose a physiological model linking these DC shifts to sustained gradients of extracellular K+ concentration, providing a mechanistic connection between neuronal synchrony and isLFP dynamics. By integrating DC-coupled sensing, multiplexed scalability, and depth-surface co-registration, this work establishes a new modality for imaging-like electrophysiology in freely moving animals and a framework for interpreting infra-slow dynamics.

neuroscience↗

bioRxiv2023

Whole mouse body histology using standard IgG antibodies

Most diseases involve multiple interconnected physiological systems, but histological evaluation of their pathology is currently limited to small tissue samples. Here, we present wildDISCO, a technology that uses cholesterol extraction to enable deep tissue penetration of standard 150 kDa IgG antibodies in chemically fixed whole mice. Combining wildDISCO with whole mouse clearing, we generate whole-body maps of the nervous, immune, and lymphatic systems and show their close interactions throughout the mouse body. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=158 SRC="FIGDIR/small/528921v1_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@f0de23org.highwire.dtl.DTLVardef@187fe94org.highwire.dtl.DTLVardef@15ac0faorg.highwire.dtl.DTLVardef@133703e_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIWildDISCO uses new tissue chemistry based on {beta}-cyclodextrin to enable histology in whole mouse bodies using full-size antibodies C_LIO_LIWildDISCO generates the first whole mouse body atlases for neurons, immune cells, blood and lymph vessels C_LIO_LIThe whole mouse atlases are available online to study the biological systems in health and disease C_LIO_LIVirtual Reality (VR) exploration of these atlases disentangles complex anatomical structures between organs and biological systems C_LI Supplementary Videos can be seen athttp://discotechnologies.org/wildDISCO/

biochemistry↗