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Exploring Neural Cell Dynamics with Digital Holographic Microscopy

Publications associées (31)

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Suliana Manley, Dora Mahecic, Juliette Griffie, Chen Zhang, Martin Weigert, Willi Leopold Stepp

Event-driven acquisition uses neural-network-based recognition of specific biological events to trigger switching between slow and fast super-resolution imaging, enriching the capture of interesting events with high spatiotemporal resolution. A common goal ...

2022

Stain-free identification of cell nuclei using tomographic phase microscopy in flow cytometry

Demetri Psaltis, Joowon Lim, Daniele Pirone

The accurate identification of the three-dimensional quantitative shape of a cell nucleus is now possible without fluorescent staining by applying computational segmentation to refractive index tomograms recorded in the flow cytometry mode. ...

Nature Publishing Group2022

QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy

Andrea Bassi, Antje Keppler, Arne Seitz

A modern day light microscope has evolved from a tool devoted to making primarily empirical observations to what is now a sophisticated , quantitative device that is an integral part of both physical and life science research. Nowadays, microscopes are fou ...

WILEY2021

Biophysical applications of correlative scanning probe and super-resolution microscopy

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Imaging live cells in their native environment is crucial for the understanding of complex biological phenomena. Modern optical microscopy methods such as fluorescence super-resolution microscopy are increasingly combined with complementary, label-free tec ...

EPFL2021

Phase calibration of a basic bright-field microscope for 3D metrology of transparent samples at the nanoscale

Martinus Gijs, Daniel Migliozzi, Bingying Zhao

Optical retrieval of the structure of transparent objects at the nano-scale requires adapted methods capable of probing their interaction with suitable light. Scattering events, for instance, depend on the content and the arrangement of the medium encounte ...

SPIE-INT SOC OPTICAL ENGINEERING2021

Polarization-sensitive optics diffraction tomography

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Polarization of light has been widely used as a contrast mechanism in two-dimensional (2D) microscopy and also in some three-dimensional (3D) imaging modalities. In this paper, we report the 3D tomographic reconstruction of the refractive index (RI) tensor ...

2021

Structured light generation by refractive-diffractive micro optical array illuminators

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Structured light generation having broad applications in different optical fields, is the topic of this thesis. Our structured light generation strategy is based on applying periodic microoptical elements at the refraction-diffraction limit, under a focuse ...

EPFL2021

NTIRE 2021 Depth Guided Image Relighting Challenge

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Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalization for domain adaptation, and also for data augmentation. It also has multip ...

IEEE COMPUTER SOC2021

Organisation and dynamics of mitochondria and their RNA

Timo Henry René Rey

The organisation of molecules into dynamic cells, and collaboration of many of those cells over a billion years led to the evolution of human life. During the last century, biologists then began to unravel the marvels of cellular organisation with ever inc ...

EPFL2021

Weakly Supervised Deep Learning Methods for Biomicroscopy

Adrian Shajkofci

Optical microscopy, an invaluable tool in biology and medicine to observe and quantify cellular function, organ development, or disease mechanisms, requires constant trade-offs between spatial, temporal, and spectral resolution, invasiveness, acquisition t ...

EPFL2021

Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

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Optical flow is a method aimed at predicting the movement velocity of any pixel in the image and is used in medicine and biology to estimate flow of particles in organs or organelles. However, a precise optical flow measurement requires images taken at hig ...

IEEE2021