Publications

Below is a selection of my recent research work.

2025

Authors: Frans Zdyb, Albert Alonso, J. B. Kirkegaard
Status: Under Review
ArXiv/Preprint: Link [Submitted on 15 March 2025]
Description:
This work introduces a training-free differentiable rendering approach to spline refinement, achieving both high reliability and sub-pixel accuracy. It serves as a drop-in replacement for the popular active contour model.

2024

Irreversibility in Non-reciprocal Chaotic Systems

Authors: Tuan Pham, Albert Alonso, Karel Proesmans
Journal: New Journal of Physics [Published 4 February 2024]
ArXiv/Preprint: Link [Submitted on 25 July 2023]
Description:
This study develops a stochastic-thermodynamic framework to analyze the relationship between irreversibility and dynamical behavior in high-dimensional chaotic systems.

Adaptive Node Positioning in Biological Transport Networks

Authors: Albert Alonso, Lars Erik J. Skjegstad, J. B. Kirkegaard
Status: Under Review
ArXiv/Preprint: Link [Submitted on 1 November 2024]
Description:
This work generalizes the hydrodynamic graph model, allowing for additional optimization of node positioning. It results in organic networks that adapt to boundary irregularities and node misalignment while improving overall efficiency.

Receptors cluster in high-curvature membrane regions for optimal spatial gradient sensing

Authors: Albert Alonso, Robert G. Endres, J. B. Kirkegaard
Status: Under Review
ArXiv/Preprint: Link [Submitted on 4 October 2024]
Description:
Using a theoretical model, this study explores how receptors cluster in high-curvature membrane regions, optimizing spatial gradient sensing and aligning with real-cell observations.

Persistent pseudopod splitting is an effective chemotaxis strategy in shallow gradients

Authors: Albert Alonso, J. B. Kirkegaard, Robert G. Endres
Status: Under Review
ArXiv/Preprint: Link [Submitted on 14 September 2024]
Description:
A minimal model that provides a quantitative understanding of how cells use pseudopod splitting to achieve high-performance chemotaxis with minimal regulation.

Learning optimal integration of spatial and temporal information in noisy chemotaxis

Authors: Albert Alonso, J. B. Kirkegaard
Journal: PNAS Nexus [Published 7 July 2024]
ArXiv/Preprint: Link [Submitted on 16 October 2023]
Description:
This study finds that the transition between chemotaxis strategies is continuous and that a combined strategy outperforms constrained variants and explicit spatial-temporal integration models.

2023

Fast detection of slender bodies in high-density microscopy data

Authors: Albert Alonso, J. B. Kirkegaard
Journal: Communications Biology [Published 19 July 2023]
ArXiv/Preprint: Link [Submitted on 11 January 2023]
Description:
An end-to-end deep learning approach for extracting precise shape trajectories of motile, overlapping slender bodies, applied to dense experiments of swimming nematodes.

2019

Simulations of strongly coupled ions at a liquid-gas interface in time projection chambers

Author: Albert Alonso
Thesis: Universitat de Barcelona, 2019
Description:
This thesis explores the behavior of strongly coupled ions at liquid-gas interfaces, providing insights for time projection chambers in physics experiments.