P. Carravilla

This paper introduces a neural network to filter artifacts in fluorescence correlation spectroscopy data, improving analysis of samples with peak artifacts.

This paper uses deep learning to denoise STED images, reducing photobleaching and photodamage by significantly lowering pixel dwell time.

This study demonstrates the use of NR4A, an exchangeable polarity-sensitive dye, for real-time 3D-STED imaging of membrane dynamics and biophysical properties in live cells.

The paper characterizes the diffusion and interaction dynamics of PEX5 in the cytosol using advanced microscopy techniques, revealing a novel interaction partner.

This paper presents a low-cost, 3D-printed super-resolution microscope using a cellphone for imaging and processing, achieving 100nm resolution and enabling live imaging of SARS-CoV-2 viroids.