Journal ArticleDOI
Marker-free phase nanoscopy
Yann Cotte,M. Fatih Toy,Pascal Jourdain,Nicolas Pavillon,Daniel Boss,Pierre J. Magistretti,Pierre Marquet,Christian Depeursinge +7 more
TLDR
In this paper, a quasi-2 pi-holographic detection scheme and complex deconvolution was used to obtain a lateral resolution of 90 nm. But the results were limited to the case of living dendritic spines (neurones).Abstract:
We introduce a microscopic method that determines quantitative optical properties beyond the optical diffraction limit and allows direct imaging of unstained living biological specimens. In established holographic microscopy, complex fields are measured using interferometric detection, allowing diffraction-limited phase measurements. Here, we show that non-invasive optical nanoscopy can achieve a lateral resolution of 90 nm by using a quasi-2 pi-holographic detection scheme and complex deconvolution. We record holograms from different illumination directions on the sample plane and observe subwavelength tomographic variations of the specimen. Nanoscale apertures serve to calibrate the tomographic reconstruction and to characterize the imaging system by means of the coherent transfer function. This gives rise to realistic inverse filtering and guarantees true complex field reconstruction. The observations are shown for nanoscopic porous cell frustule (diatoms), for the direct study of bacteria (Escherichia coil), and for a time-lapse approach to explore the dynamics of living dendritic spines (neurones).read more
Citations
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Proceedings ArticleDOI
How holographic imaging can improve machine learning
Pasquale Memmolo,Vittorio Bianco,Pierluigi Carcagnì,Francesco Merola,Melania Paturzo,Cosimo Distante,Pietro Ferraro +6 more
TL;DR: A reverse modality in which holographic imaging boosts the performance of machine leaning algorithms and identifies several descriptors solely related to the type of data to be classified, i.e. the holographic image.
Posted ContentDOI
Optical excitation and detection of neuronal activity
Chenfei Hu,Richard Sam,Mingguang Shan,Viorel Nastasa,Minqi Wang,Taewoo Kim,Martha U. Gillette,Parijat Sengupta,Gabriel Popescu +8 more
TL;DR: It is shown that phase imaging can report the intracellular transport induced by optogenetic stimulation and a broadening in the transport velocity distribution is indicated, which is significantly higher in stimulated cells compared to optogenetically inactive cells.
Dissertation
Optimization and Parametric Characterization of a Hydrodynamic Microvortex Chip for Single Cell Rotation
Posted ContentDOI
uPTI: uniaxial permittivity tensor imaging of intrinsic density and anisotropy
Li-Hao Yeh,Ivan Ivanov,Syuan-Ming Guo,Bryant B. Chhun,Ezzat Hashemi,May H. Han,Shalin B. Mehta +6 more
TL;DR: In this article, a label-free computational microscopy method, uPTI, is presented, which reports components of uniaxial permittivity tensor, including phase and 3D anisotropy across volumes.
Journal ArticleDOI
3D differential interference contrast microscopy using polarisation‐sensitive tomographic diffraction microscopy
TL;DR: In this article , a 3D differential interference contrast (DIC) microscope with polarisation array sensors (PASs) was proposed to estimate the phase sensitive information of the image.
References
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Journal ArticleDOI
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Journal ArticleDOI
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Journal ArticleDOI
Simultaneous amplitude-contrast and quantitative phase-contrast microscopy by numerical reconstruction of Fresnel off-axis holograms
TL;DR: Off-axis holograms recorded with a magnified image of microscopic objects are numerically reconstructed in amplitude and phase by calculation of scalar diffraction in the Fresnel approximation to show that the transverse resolution is equal to the diffraction limit of the imaging system.
PatentDOI
Tomographic phase microscopy
TL;DR: In this article, the authors present a system and methods for quantitative three-dimensional mapping of refractive index in living or non-living cells, tissues, or organisms using a phase-shifting laser interferometric microscope with variable illumination angle.
Journal ArticleDOI
A Filtered Backpropagation Algorithm for Diffraction Tomography
TL;DR: The reconstruction algorithm is derived for parallel beam transmission computed tomography through two-dimensional structures in which diffraction of the insonifying beam must be taken into account and is applicable to diffraction tomography within either the first Born or Rytov approximations.