다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

A fast-Fourier-transform method of topography and interferometry is proposed. By computer processing of a noncontour type of fringe pattern, automatic discrimination is achieved between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour-generation techniques. The method has advantages over moire topography and conventional fringe-contour interferometry in both accuracy and sensitivity. Unlike fringe-scanning techniques, the method is easy to apply because it uses no moving components.

Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry

We review the recent developments in the area of optical fiber grating sensors, including quasi-distributed strain sensing using Bragg gratings, systems based on chirped gratings, intragrating sensing concepts, long period-based grating sensors, fiber grating laser-based systems, and interferometric sensor systems based on grating reflectors.

Fiber grating sensors

The PASCAL Visual Object Classes Challenge

In this work, we use digital holographic (DH) microscope coupled to a label-free and high-throughput microfluidic cytometer to automatically detect the drug resistance of Epithelial Ovarian Cancer (EOC) cells reinforced by machine learning.

Drug Resistance Classification of Cancer Cells Based on Digital Holographic Flow Cytometry and Machine Learning

A recently proposed imaging modality, named Space-Time Scanning Interferometry (STSI), exploits object scanning to synthesize interferograms mapped in a hybrid space-time domain. A single linear sensor array is sufficient to create such interferograms with unlimited Field of View (FoV) along the scanning direction. If properly selected, three detector lines allows to recovery the phase information by Phase Shifting (PS) interferometry algorithms. Here we show the application of the STSI method to microfluidic imaging of biological samples, where the required phase shift between interferograms is intrinsically offered due to the sample movement, i.e. scanning does not need to be provided. Besides, out-of-focus recordings are performed using a single line detector, in order to synthesize an unlimited FoV Space-Time Digital Hologram (STDH). As conventional DH, a STDH yields full-field, quantitative, flexible focusing imaging. In addition, in a STDH the FoV is customizable in one direction, so that the desired magnification of a large size sample can be set, still being able to image this entirely. Besides, STDH allows to capture data from a multitude of flowing samples and to process the corresponding information in a single operation, thus avoiding hologram stitching. Experiments have been carried out to demonstrate the capability of STDH provide very high-throughput imaging of objects flowing in a liquid volume using a linear sensor array easily embeddable onboard LoC platforms.

Custom field-of-view optofluidic imaging by synthetic digital holography

Quantitative evaluation of nanoparticles internalization in living cells by holographic microscopy

We propose a new denoising algorithm in off-axis Digital Holography (DH) based on l1 norm minimization. The aim of
our work is to assess a general denoising scheme of digital holograms, i.e. we do not explore prior knowledge of the
statistics of the digital holograms. For this purpose, we consider different experimental conditions such as a digital
holograms recorded in microscope configuration and lensless configuration. We use the inherent sparsity of the
numerical reconstruction of digital holograms in order to optimize the in-focus digital reconstructions. For this reason,
we call the proposed algorithm SPADEDH (SPArsity DEnoising of Digital Holograms). We perform also a display test,
by using a Spatial Light Modulator (SLM) as a projection system, for the digital holograms recorded in lensless
configuration. In both numerical reconstruction and display test, the improvements of the SPADEDH algorithm are
computed.

A new algorithm for digital holograms denoising based on compressed sensing

In this paper, we present a new configuration for a real-time spatial image processor that is based upon a spatially incoherent imaging setup in which a grating is attached to the object plane. By proper adjusting of the magnification of the imaging system to the spatial period of the grating and the sampling grid of the camera, the aliasing effect along the non-uniform digital sampling realizes a tunable spectral distribution that is applied over the spectrum of the object. Preliminary numerical demonstration of the operation principle is provided.

Pietro Ferraro

Papers

Drug Resistance Classification of Cancer Cells Based on Digital Holographic Flow Cytometry and Machine Learning

Custom field-of-view optofluidic imaging by synthetic digital holography

Quantitative evaluation of nanoparticles internalization in living cells by holographic microscopy

A new algorithm for digital holograms denoising based on compressed sensing

Optical spatial image processor based on aliasing of pseudo-periodic sampling