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µGUIDE is a Bayesian framework that leverages simulation-based inference to efficiently estimate posterior distributions of any forward model parameters, allowing for uncertainty quantification and degeneracy detection.

Quantitative live imaging assays reveal that multiple enhancers often fail to work in an additive fashion in the patterning of the Drosophila embryo, and sometimes even interfere with one another.

Quantitative time-resolved crosslinking mass spectrometry is developed to monitor protein interactions and dynamics inside molecular condensates and used to identify misfolding of the RNA-binding domain of FUS as a key driver of condensate-aging.

A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.

Rapid, label-free, volumetric, and automated assessment of the immunological synapse dynamics is demonstrated by combining optical diffraction tomography and deep-learning-based segmentation, providing a new option for immunological research.

New open-source software enables, for the first time, extraction of quantitative information from brain dissection photographs that are routinely taken at brain banks for archiving purposes but otherwise not exploited.

Quantitative single molecule and super resolution imaging in mammalian cells reveal a population of precursor aggregates describable by first order phase transition theory.

A quantitative live imaging approach unveils that earliest neurogenic progenitors in the vertebrate retina arise from asymmetric divisions and that this asymmetry involves Notch signalling through the endocytic pathway.

In vivo quantitative magnetic resonance imaging at ultra-high magnetic field reveals systematic differences of relaxation parameters (R₁) within the human secondary visual cortex at the level of the thin-thick-pale stripes system, which points toward higher cortical myelination of pale stripes.

Biophysical modeling and quantitative live-cell imaging converge to show that the century-old puzzle of somatic homolog pairing in Drosophila operates via a button model.