CASUS Institute Seminar, Prof. Ricardo Henriques, Group Leader at Instituto Gulbenkian de Ciencia, Honorary Professor at University College London, United Kingdom
Ricardo graduated in Physics, specializing in biophotonics and robotics. He then pursued postdoc research at Institut Pasteur Paris. Ricardo currently is a group leader at both the University College London and The Francis Crick Institute in the UK. His group undergoes research in optical and computational biophysics, with a special interest in super-resolution microscopy and host-pathogen interactions.
Abstract of the talk // Computational analysis has become an essential part of microscopy, enabling and enhancing quantitative imaging approaches. Several cutting-edge microscopy methods now depend on an analytical step to process large volumes of recorded data, extract analytical information, and produce a final rendered image. Single-molecule localization-based super-resolution microscopy is a notorious example. In recent years, our team and collaborators have built an open-source ecosystem of combined computational and optical approaches, particularly dedicated to improving live-cell microscopy, super-resolution imaging, and helping researchers retrieve high-fidelity quantitative data from their images. In this talk, Ricardo will discuss the technologies he together with his team have developed for super-resolution microscopy using the NanoJ platform. Ricardo will focus on the new “enhanced Super-Resolution Radial Fluctuations” (eSRRF) approach and its combination with real-time controlled microfluidics live-to-fix cell imaging, called NanoJ-Fluidics, as well as real-time quality control on the predicted super-resolution images using the SQUIRREL. He will also present ZeroCostDL4Mic, an entry-level platform simplifying the application of Deep-Learning (DL) analysis to biological microscopy images, by exploiting free openly-accessible cloud-based computational resources. ZeroCostDL4Mic allows researchers with no coding expertise to train and apply key DL tasks to perform segmentation, object detection, denoising, super-resolution microscopy, and microscopy modality image-to-image translation. He will demonstrate the application of the platform to study multiple biological processes, including those in eucaryotic and procaryotic cells, and to analyse SMLM data.
The seminar will be held exclusively online via Zoom Inc., people interested in the topic have the chance to also join the talk remotely. Please ask for the login details via email@example.com.