Publications by Vojislav Gligorovski

Automated plasmid design for marker-free genome editing in budding yeast

Sahand Jamal Rahi, Vojislav Gligorovski, Marco Labagnara

Scarless genome editing in budding yeast with elimination of the selection marker has many advantages. Some markers such as URA3 and TRP1 can be recycled through counterselection. This permits seamless genome modification with pop-in/pop-out, in which a DN ...

OXFORD UNIV PRESS INC2025

Light-directed evolution of dynamic biological systems

Vojislav Gligorovski

Living systems are commonly engineered through an iterative design-build-test process. However, unlike in other engineering disciplines, the systems that synthetic biologists construct are able to evolve. On the one hand, this compromises their long-term s ...

EPFL2025

A simplified version of rapid susceptibility testing of bacteria and yeasts using optical nanomotion detection

Sandor Kasas, María Inés Villalba, Sahand Jamal Rahi, Vojislav Gligorovski

We present a novel optical nanomotion-based rapid antibiotic and antifungal susceptibility test. The technique consisted of studying the effects of antibiotics or antifungals on the nanometric scale displacements of bacteria or yeasts to assess their sensi ...

Frontiers Media SA2024

The multimodality cell segmentation challenge: toward universal solutions

Sahand Jamal Rahi, Vojislav Gligorovski, Marco Labagnara, Jun Ma, Maxime Emmanuel Scheder, Xin Yang, Yao Zhang, Bo Wang, Yixin Wang, Lin Han

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in different experimen ...

Nature Portfolio2024

Multidimensional characterization of inducible promoters and a highly light-sensitive LOV-transcription factor

Sahand Jamal Rahi, Vojislav Gligorovski

The ability to independently control the expression of different genes is important for quantitative biology. Using budding yeast, we characterize GAL1pr, GALL, MET3pr, CUP1pr, PHO5pr, tetOpr, terminator-tetOpr, Z(3)EV, blue-light inducible optogenetic sys ...

Nature Portfolio2023

A convolutional neural network segments yeast microscopy images with high accuracy

Anne-Florence Raphaëlle Bitbol, Sahand Jamal Rahi, Vojislav Gligorovski, Mateusz Kozinski, Martin Weigert, Nicola Dietler, Matthias Minder, Ahmad Sadeghi

The identification of cell borders ('segmentation') in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exhibit i ...

Nature Research2020

Adaptive model predictive control for linear time varying MIMO systems

Vojislav Gligorovski

A robust, adaptive Model Predictive Control (MPC) approach for asymptotically stable, constrained linear time-varying (LTV) systems with multiple inputs and outputs is proposed. The approach consists of two-steps, carried out on-line with a receding horizo ...

2019