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

The complete cells characterization in microfluidic flow can be achieved by using the quantitative phase imaging by digital holography as imaging tool. In fact, by assuring the complete 3D rotation of flowing cells, it is possible to recover their 3D refractive index mapping by using the tomographic phase-contrast reconstruction. In this paper, we investigate all steps need to obtain the tomographic reconstruction of flowing cells. In particular, we employ a holographic 3D tracking algorithm to follow each cells that moves in the field of view, along with a suitable tracking angle method for the cell’s tumbling. Moreover, a fluid modeling is used to characterize the cell rotation effect. We test the proposed processing pipeline for circulating tumor cells.

Holographic imaging for 3D cells morphology in microfluidic flow

Male reproductive health in both humans and animals is an important research field in biological study. In order to characterize the morphology, the motility and the concentration of the sperm cells, which are the most important parameters to feature them, digital holography demonstrated to be an attractive technique. Indeed, it is a labelfree, non-invasive and high-resolution method that enables the characterization of live specimen. The review is intended both for summarize the state-of-art on the semen analysis and recent achievement obtained by means of digital holography and for exploring new possible applications of digital holography in this field.

Holographic imaging of unlabelled sperm cells for semen analysis: a review

Nowadays, digital holography can be considered as one of the most powerful imaging modality in several research fields, from the 3D imaging for display purposes to quantitative phase image in microscopy and microfluidics. At the same time, machine learning in imaging applications has been literally reborn to the point of being considered the most exploited field by optical imaging researchers. In fact, the use of deep convolutional neural networks has permitted to achieve impressive results in the classification of biological samples obtained by holographic imaging, as well as for solving inverse problems in holographic microscopy. Definitely, machine learning approaches in digital holography has been used mainly to improve the performance of the imaging tool. Here we show a reverse modality in which holographic imaging boosts the performance of machine leaning algorithms. In particular, we identify several descriptors solely related to the type of data to be classified, i.e. the holographic image. We provide some case studies which demonstrate how the holographic imaging can improve the performance of a plain classifier.

How holographic imaging can improve machine learning

Istituto di Cibernetica del C.N.R., Via Toiano 6, Arco Felice (NA) 80072 ItalyABSTRACTOptical scanning systems can be used for measuring the 3D position of objects. In the case of large objects large errors canoccurs depending from the area to be covered by the laser scanning system and from the accuracy obtainable on angularposition of driven rotating mirrors. A numerical simulation has been performed to evaluate errors in a case of large objects(2mx2m). This is a typical situation that is encuntered when a scanning laser system is applied to aid the fabricationprocess of composite materials for aircraft components. Criteria used to perform the numerical simulation are describedand results are reported for a number of cases could be met in a real applications.Keywords: optical scanners. tridimensional position measurements, optical metrology, composite materials.1. INTRODUCTIONA variety of fabrication processes in different fields of applications ranging from textile to aerospace industry requiretracing of reference lines on the surface of a tool, to accomplish various operations such as cutting, positioning, drilling,etc. Tracing operations are usually performed by using handhold templates. In the aerospace industiy, expecially in thefabrication process of components made of composite materials, the positioning of different layers is a time consumingoperation which usually requires a precision of about 3 mm on the surface plane. In this case, a scanning laser system canbe used to project temporarily visible reference lines according to the engineering requirements, thus saving costs andimproving the automation degree of the process. Commercially available laser scanning systems can be connected to theComputer Aided Design (CAD) systems to receive directly the coordinates data of the project. If the position of the toolsurface with respect to the reference frame of the scanning laser head is known in advance, the projection of the reference

Measurement of 3D position of large objects by laser scanning system to aid the fabrication process of composite aerospace components

Manipulation of liquids on micro- and nanoscale is a key issue in many fields of technology and biotechnology. Electric field induced formation of microliter and nanoliter droplets is very useful in lab-on-chip applications and would represent a new and contact-less way for functionalizing smart materials [1, 2, 3]. Ink-jet printing, manipulation of biomolecules, deposition of inorganic, organic and biological inks [4, 5], dispensing of small amounts of material into well-defined areas would be a further possibility for functionalizing sensing area for lab-on-a-fiber devices and related applications.

Pietro Ferraro

Papers

Holographic imaging for 3D cells morphology in microfluidic flow

Holographic imaging of unlabelled sperm cells for semen analysis: a review

How holographic imaging can improve machine learning

Measurement of 3D position of large objects by laser scanning system to aid the fabrication process of composite aerospace components

Electrohydrodynamic Dispenser for Delivering Multiphase Samples at Nanoscale