Publications Database

QCima Studio is a standalone software application for quality control of MACSima spatial proteomics datasets. It provides convenient access to review individual antibody signals alongside their corresponding background and autofluorescence reference images.Users can adjust visualization settings, classify signals as accepted or discarded, and automatically organize imaging data by scene (Rack–Well–ROI), antibody, and autofluorescence reference.The software is designed for fast, script-free QC workflows and supports session saving, analysis resumption, structured metadata review, and seamless transfer of QC decisions back to MACS iQ View..

Model weights for YADO (You Accurately Denoise real Observations) Denoiser and Renoiser as introduced in the paper "Rethinking Real-World MRI Denoising: Learning from Physical Noise" accepted to ECCV 2026. See also the Project Page.The code and docs are at: github.com/Deep-MI/YADO, and the weights are mostly also compatible with YODA. [...]

Data and code for the publication "A novel analysis method for condensate wetting identifies charge-dependent Tau-membrane interactions", located at [DOI will be updated when available]..

Introduction: The α-synuclein seed amplification assay (synSAA) is a biomarker test for synucleinopathies. Different synSAA conditions have different properties, and some of these conditions enable differentiation between diseases associated with Lewy bodies versus those associated with glial inclusions. [...]

Loss of retinal pigment epithelium (RPE) in the eye leads to photoreceptor dysfunction, death, and eventually, vision loss. Cell replacement strategies using RPE cells derived in vitro from pluripotent stem cells are currently evaluated as a potential therapeutic strategy. [...]

Motion artefacts in magnetic resonance brain images can have a strong impact on diagnostic confidence. The assessment of MR image quality is fundamental before proceeding with the clinical diagnosis [...]

Magnetic resonance imaging (MRI) is highly susceptible to patient motion due to its relatively long acquisition times and the fact that data are acquired sequentially in k-space. Even small patient movements introduce phase inconsistencies across measurements, leading to severe artifacts such as blurring, ghosting, and geometric distortions that can compromise diagnostic quality. [...]