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Aliasing mitigation in optical microscopy of dynamic biological samples by use of temporally modulated color illumination and a standard RGB camera

Publications associées (67)

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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

Learning for Multi-View Tracking

Ivan Vrkic

In response to the growing trend towards end-to-end learning, we propose a novel framework advancing towards an end-to-end multi-camera multi-object tracking (MC-MOT) solution that addresses challenges like occlusions, viewpoint variations, and illuminatio ...

2023

Development of novel experimental and computational methods for three-dimensional coherent and super-resolution microscopy

Adrien Charles-François Raymond Descloux

Optical microscopy is one widely used tool to study cell functions and the interaction of molecules at a sub-cellular level. Optical microscopy techniques can be broadly divided into two categories: partially coherent and incoherent. Coherent microscopy te ...

EPFL2020

Optical microscopy is an essential tool in biology and medicine. Imaging thin, yet non-flat objects in a single shot (without relying on more sophisticated sectioning setups) remains challenging as the shallow depth of field that comes with high-resolution ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Studying dynamic biological processes, such as heart development and function in zebrafish embryos, often relies on multi-channel fluorescence labeling to distinguish multiple anatomical features, yet also demands high frame rates to capture rapid cell mot ...

2020

Graph-based regularization of inverse problems in imaging

Mattia Rossi

As of today, the extension of the human visual capabilities to machines remains both a cornerstone and an open challenge in the attempt to develop intelligent systems. On the one hand, the development of more and more sophisticated imaging devices, capable ...

EPFL2020

Precise Hand Finger Width Estimation via RGB-D Data

Mahdi Nobar

We propose a novel application of pose estimation to precisely measure the hand ﬁnger width via noisy RGB-D image. A framework is developed that estimates the ﬁnger width given data from TrueDepth camera as well as the target ﬁnger measure- ment location. ...

2020

Generalized temporal sampling with active illumination in optical microscopy

Michael Stefan Daniel Liebling, Christian Jaques

Generalized sampling is a flexible framework for signal acquisition, which relaxes the need for ideal pre-filters. Nevertheless, implementation remains challenging for dynamic imaging applications because it requires simultaneously measuring multiple overl ...

SPIE2019

Temporal Super-Resolution Microscopy Using a Hue-Encoded Shutter

Sylvain Calinon, Michael Stefan Daniel Liebling, Emmanuel Pignat, Christian Jaques

Limited time-resolution in microscopy is an obstacle to many biological studies. Despite recent advances in hardware, digital cameras have limited operation modes that constrain frame-rate, integration time, and color sensing patterns. In this paper, we pr ...

2019

Super-resolution fluorescence microscopy is widespread, owing to its demonstrated ability to resolve dynamical processes within cells and to identify the structure and position of specific proteins in the interior of protein complexes. Nowadays, subcellula ...

EPFL2019