Surface passivation and functionalisation for mass photometry

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Publications associées (31)

Practical computational imaging by use of spatiotemporal light modulation: from simulations to applications in biological microscopy

François Thierry M Marelli

Optical microscopy is an essential tool for biologists, who are often faced with the need to overcome the spatial and temporal resolution limitations of their devices to capture finer details. As upgrading imaging hardware is expensive, computational metho ...

EPFL2023

Mitochondrial nanomotion measured by optical microscopy

Sandor Kasas, María Inés Villalba, Priyanka Parmar

Nanometric scale size oscillations seem to be a fundamental feature of all living organisms on Earth. Their detection usually requires complex and very sensitive devices. However, some recent studies demonstrated that very simple optical microscopes and de ...

Frontiers Media SA2023

Chemical Probe for Imaging of Polo-like Kinase 4 and Centrioles

Kai Johnsson, Luc Reymond, Pierre Gönczy, Aleksandar Salim, Georgios Hatzopoulos

Polo-like kinase (Plk4) is a serine/threonine-proteinkinase thatis essential for biogenesis of the centriole organelle and is enrichedat centrioles. Herein, we introduce Cen-TCO, a chemical probe basedon the Plk4 inhibitor centrinone, to image Plk4 and cen ...

AMER CHEMICAL SOC2023

Time-Resolved Scanning Ion Conductance Microscopy and Single-Molecule Spectroscopy

Samuel Mendes Leitão

The evolution of the 3D morphology is at the center of many relevant biological processes ranging from cellular differentiation to cancer invasion and metastasis. Microscopy techniques, such as electron microscopy (EM), super-resolution (SR) optical micros ...

EPFL2023

Correlative light and volume electron microscopy to study brain development

Graham Knott

Recent advances in volume electron microscopy (EM) have been driving our thorough understanding of the brain architecture. Volume EM becomes increasingly powerful when cells and their subcellular structures that are imaged in light microscopy are correlate ...

OXFORD UNIV PRESS2023

Signal strength and integrated intensity in confocal and image scanning microscopy

Giorgio Tortarolo

The properties of signal strength and integrated intensity in a scanned imaging system are reviewed. These prop-erties are especially applied to confocal imaging systems, including image scanning microscopy. The integrated intensity, equal to the image of ...

Optica Publishing Group2023

Simple optical nanomotion method for single-bacterium viability and antibiotic response testing

Sandor Kasas, María Inés Villalba, Allan Bonvallat, Eugenia Rossetti

Antibiotic resistance is nowadays a major public health issue. Rapid antimicrobial susceptibility tests (AST) are one of the options to fight this deadly threat. Performing AST with single-cell sensitivity that is rapid, cheap, and widely accessible, is ch ...

National Academy of Sciences2023

Microfluidic devices for automated analysis of ingested bacteria in the Caenorhabditis elegans intestine

Farzad Rezaeianaran

In this thesis, we explored on-chip high-resolution imaging of the fate of intestinal bacteria and bacterial products in Caenorhabditis elegans (C. elegans). In the first part, we carried out high-resolution z-stack fluorescent imaging of Red Fluorescent P ...

EPFL2023

Tracking spatiotemporal localisation and interactions of the innate immune sensor STING

Sophie Marie Elisabeth Rivara

Innate immunity, the very first line of defence of our cells, relies on the detection of universal pathogen- or danger-associated signals to launch an inflammatory response. A crucial part of our innate immune system is based on the recognition of out-of-c ...

EPFL2023

In Situ and Time-Resolved Transmission Electron Microscopy of Nanoscale Processes

Chengcheng Yan

Observing the fast dynamics of nanoscale systems is crucial in order to understand and ultimately control their behavior. Characterizing these dynamic processes requires techniques with atomic spatial resolution and a temporal resolution that matches the t ...

EPFL2023

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction

Max Stieber, Martin Weigert, Benjamin Tobias Gallusser

State-of-the-art object detection and segmentation methods for microscopy images rely on supervised machine learning, which requires laborious manual annotation of training data. Here we present a self-supervised method based on time arrow prediction pre-t ...

Springer International Publishing Ag2023

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