Ivo F. Sbalzarini

The paper shows that confined actomyosin networks generate self-centering steady-state flows that organize cellular debris into a central inclusion.

This study uses computational models to show how meniscus mechanics depend on microstructure and synovial fluid viscosity, finding that increased porosity significantly enhances flow velocity.

The paper simulates Fgf8a gradient formation in zebrafish epiboly using reconstructed 3D geometries to show that pore connectivity affects gradient shape and stability.

This paper shows that variational inference methods like SVGD and VI can speed up DNA mixture deconvolution with minimal loss of accuracy.

The paper validates a Hamiltonian Monte Carlo genotyping algorithm on DNA mixtures, showing reliable likelihood ratios and proposing a new precision benchmark.

The paper introduces pAPRica, a framework for efficient analysis of large-scale histopathology images, achieving significant speedup and data reduction.

This paper introduces a Hamiltonian Monte Carlo algorithm with strict convergence criteria to reduce run-to-run variability in forensic DNA mixture deconvolution without increasing runtime.

The paper shows that extracellular matrix topology influences collective cell migration during zebrafish optic cup formation by affecting cryptopodia formation and migration efficiency.

This paper introduces an adaptive particle representation for fluorescence microscopy images to overcome storage and processing bottlenecks by replacing pixels with content-aware particles.

The paper introduces a Monte Carlo method to quantify uncertainty in motion type estimation for single-particle tracking, addressing error propagation in bioimage analysis.