A simple method to build up a reflective axicon-like structure is proposed based on the localized swelling of a PDMS-gold bilayer heated by a tightly focused pump laser source. When the distorted reflective surface is illuminated by a probe beam, the theoretical modeling and the experimental tests put in evidence the formation of virtual foci with tens mu textm diameter with a depth of focus to 103 mm. Other than being tunable in a flexible and simple way, the reflecting device is wavelength independent and completely reconfigurable with up to 207.3 W/mm2 pump power densities. As the width of the apical region is triggered by the dimension of the pump focal spot, the device is taylorable for miniaturized systems.

Fourier ptychographic microscopy probes label-free samples from multiple angles and achieves super resolution phase-contrast imaging according to a synthetic aperture principle. Thus, it is particularly suitable for high-resolution imaging of tissue slides over a wide field of view. Recently, in order to make the optical setup robust against misalignments-induced artefacts, numerical multi-look has been added to the conventional phase retrieval process, thus allowing the elimination of related phase errors but at the cost of a long computational time. Here we train a generative adversarial network to emulate the process of complex amplitude estimation. Once trained, the network can accurately reconstruct in real-time Fourier ptychographic images acquired using a severely misaligned setup. We benchmarked the network by reconstructing images of animal neural tissue slides. Above all, we show that important morphometric information, relevant for diagnosis on neural tissues, are retrieved using the network output. These are in very good agreement with the parameters calculated from the ground-truth, thus speeding up significantly the quantitative phase-contrast analysis of tissue samples.

Fourier Ptychography probes the sample from different directions to achieve label-free quantitative phase imaging with a large space-bandwidth product. However, special attention has to be paid in the calibration of the optical setup to assure the accurate knowledge of the geometrical parameters involved in the image reconstruction. Any slight misalignment can provoke incorrect synthesis of the observables and, in turn, severe phase errors in the resulting high-resolution image. Here, we present a new processing pipeline that automatically removes such a priori unknown artifacts, thus making Fourier Ptychography miscalibration-tolerant. This result is achieved through a numerical Multi-Look approach that generates and combines multiple reconstructions of the same set of observables where phase artifacts are largely uncorrelated and, thus, automatically suppress each other. The proposed method is non-iterative, fully parallelizable, and completely blind, unlocking the use of Fourier Ptychography as an easy to handle tool or add-on to existing microscopes to be employed by unskilled users, thus paving the way to biomedical and clinical practices.

Modern photonic technologies are emerging, allowing the acquisition of in-vivo endoscopic tissue imaging at a microscopic scale, with characteristics comparable to traditional histological slides, and with a label-free modality. This raises the possibility of an 'optical biopsy' to aid clinical decision making. This approach faces barriers for being incorporated into clinical practice, including the lack of existing images for training, unfamiliarity of clinicians with the novel image domains and the uncertainty of trusting 'black-box' machine learned image analysis, where the decision making remains inscrutable. In this paper, we propose a new method to transform images from novel photonics techniques (e.g. autofluorescence microscopy) into already established domains such as Hematoxilyn-Eosin (H-E) microscopy through virtual reconstruction and staining. We introduce three main innovations: 1) we propose a transformation method based on a Siamese structure that simultaneously learns the direct and inverse transformation ensuring domain back-transformation quality of the transformed data. 2) We also introduced an embedding loss term that ensures similarity not only at pixel level, but also at the image embedding description level. This drastically reduces the perception distortion trade-off problem existing in common domain transfer based on generative adversarial networks. These virtually stained images can serve as reference standard images for comparison with the already known H-E images. 3) We also incorporate an uncertainty margin concept that allows the network to measure its own confidence, and demonstrate that these reconstructed and virtually stained images can be used on previously-studied classification models of H-E images that have been computationally degraded and de-stained. The three proposed methods can be seamlessly incorporated on any existing architectures. We obtained balanced accuracies of 0.95 and negative predictive values of 1.00 over the reconstructed and virtually stained image-set on the detection of color-rectal tumoral tissue. This is of great importance as we reduce the need for extensive labeled datasets for training, which are normally not available on the early studies of a new imaging technology.

Modern agriculture is facing new challenges about food production for a growing population in a sustainable manner. Crop mapping at local and regional scale could provide valuable information in support of agricultural policy. This paper describes a field mapping investigation in a populated area in Tuscany (Italy). Satellite images from Sentinel-1 C-band and COSMO-SkyMed X-band SAR and Sentinel-2 optical sensors are input of classifiers based on deep learning and convolutional neural networks. Results pinpointed that the use of optical images allowed the best overall classification accuracy (99.7%), nevertheless X-band SAR imagery, providing an accuracy of 94.6%, could be a good substitute of optical indices in case of lack of cloud-free multispectral data.

In this work is analyzed the possibility to use optical techniques for the characterization of airless radial tire. Electronic Speckle Pattern Interferometry (ESPI), laser scanner based on principle of triangulation and Digital Image Correlation (DIC) have been used to acquire and study this kind of tire. A MICHELIN® X® TWEEL® UTV has been considered as case study. The acquisitions have been used for the measurement of the shape for testing junction areas and to evaluate the structure behavior under a vertical load.

This work has investigated the impact of crystallographic structure on SnAgCu (SAC) solder reliability at print board circuit (PCB) level. A detailed reliability analysis has been performed on packages with different solder thickness. The correlation between experiments and Finite Element Model results explains how NiAu metallization and the reduction of solder thickness improve the solder joint reliability performances.

Specimens with intentionally embedded weld defects or flaws can be employed for training, development and research into procedures for mechanical property evaluation and structural integrity assessment. It is critical that the artificial defects are a realistic representation of the flaws produced by welding. Cylindrical holes, which are usually machined after welding, are not realistic enough for our purposes as it is known that they are easier to detect than the naturally occurring imperfections and cracks. Furthermore, it is usually impractical to machine a defect in a location similar to where the real weld defects are found. For example, electro-discharge machining can produce a through hole (cylindrical reflector) which neither represents the weld porosity (spherical voids) nor the weld crack (planar thin voids). In this study, the aim is to embed reflectors inside the weld intentionally, and then locate them using ultrasonic phased array imaging. The specimen is an 8 mm thick 080A15 Bright Drawn Steel plate of length 300 mm. Tungsten rods (ø2.4-3.2 mm & length 20-25 mm) and tungsten carbide balls (ø4 mm) will be used to serve as reflectors simulating defects within the weld itself. This study is aligned to a larger research project investigating multi-layer metal NDE found in many multi-pass welding and wire arc additive manufacturing (WAAM) applications and as such, there is no joint preparation as the first layer is deposited over the plate surface directly and subsequent layers contribute to the specimen build profile, similar to the WAAM samples. A tungsten inert gas welding torch mounted on a KUKA robot is used to deposit four layers for each weld, with our process using nine passes for the first layer, down to six passes for the last layer. During this procedure, the tungsten artificial reflectors are embedded in the weld, between the existing layers. The sample is then inspected by a 10 MHz ultrasonic phased array in direct contact with the sample surface using both conventional and total focusing method (TFM) imaging techniques. A phased array aperture of 32 elements has been used. The phased array controller is FIToolbox (Diagnostic Sonar, UK). Firstly, a focused B-scan has been performed with a range of settings for the transmit focal depth. Secondly, a full-aperture TFM method has been processed. All the reflectors of interest were detected successfully using this combination of B-scan and TFM imaging approaches.

Multi-sensor, multi-band and multi-temporal remote sensing data can be very useful in precise flood monitoring. In this paper, we describe DAFNE, a Matlab (R)-based, open source toolbox, to produce flood maps from remotely sensed and other ancillary information, through a data fusion approach. DAFNE is based on Bayesian Networks, and is composed of several independent modules, each one performing a different task. Multi-temporal and multi-sensor data can be easily handled, with the possibility of producing time series of output flood maps, and thus follow the evolution of single or recurrent flood events. Here, an application of the toolbox is illustrated to delineate a flood map, close to the peak of inundation occurred in April 2015 on the Strymonas river (Greece), from multi-band optical and SAR data.

A novel scattering-type near-field optical microscopy (s-SNOM) system based on a terahertz (THz) quantum cascade laser operating in self-detection mode is employed to probe a resonant phonon-polariton mode of a thin topological insulator flake (Bi 2 Te 2.2 Se 0.8 ). Background-free near-field imaging with nanoscale spatial resolution is demonstrated.

Thanks to their flexibility, optical techniques could be the key to explore anatomy, plasticity, and functionality of the cerebellum. As an example, an in vivo analysis of the dynamic remodeling of cerebellar axons by nonlinear microscopy can provide fundamental insights of the mechanism that promotes neuronal regeneration. Several studies showed that damaged climbing fibers are capable of regrowing also in adult animals. The investigation of the time-lapse dynamics of degeneration and regeneration of these axons within their complex environment can be performed by time-lapse two-photon fluorescence (TPF) imaging in vivo. Here, we show that single axonal branches can be dissected by laser axotomy, thus avoiding collateral damage to the adjacent dendrite and the formation of a persistent glial scar. Despite the very small denervated area, the injured axons consistently reshaped the connectivity with surrounding neurons and sprouted new branches through the intact surroundings. Correlative light and electron microscopy revealed that the sprouted branch contains large numbers of vesicles, with varicosities in the close vicinity of Purkinje dendrites. By using an RNA interference approach, we found that downregulating GAP-43 causes a significant increase in the turnover of presynaptic boutons and hampers the generation of reactive sprouts. Further, we report how nonlinear microscopy in combination with novel voltage sensitive dyes or transgenic mice allow optical registrations of action potential across a population of neurons opening promising prospective in understanding brain functionality. Finally, we describe novel implementations of light-sheet microscopy to resolve neuronal anatomy in whole cerebellum with cellular resolution. The understanding gained from these complementary optical methods may provide a deeper comprehension of the cerebellum.

We device plasmonic, bolometric and thermoelectric antenna-coupled Terahertz photodetectors based on black phosphorus and hybrid van der Walls heterostructures, showing 20000 signal to noise ratios and 100pW/Hz1/2 noise equivalent powers in the 0.3-3 THz frequency range.

PURPOSE: The aim of this study was to characterize a cell-based model for the molecular study of hypoxia-inducible factor (HIF)-1? activity, in the context of hypoxia, by means of different imaging techniques. PROCEDURES: Engineered U251-HRE glioma cells were used to analyze the molecular mechanisms underlying HIF-1? activity in vitro in relation to luciferase expression. The same cells were orthotopically implanted in mice to evaluate tumor progression and hypoxia induction by bioluminescence imaging, fluorescence imaging, positron emission tomography (PET), and magnetic resonance imaging (MRI). RESULTS: In vitro analyses highlighted the relationship between HIF-1? and luciferase activity in hypoxic conditions and after pharmacological treatments in U251-HRE cells. Through in vivo studies, it was possible to assess hypoxia establishment in relation to tumor growth by optical imaging, PET and MRI. CONCLUSIONS: The findings of this study indicate that the U251-HRE orthotopic murine model can be used to reliably evaluate processes modulating HIF-1? activity, using both molecular and preclinical non-invasive imaging techniques.

This paper reports on the first attempt of application of independent component analysis (ICA) to 2D images of combustion-related luminosity. The images are acquired from an optically accessible Diesel engine equipped with the common rail injection system and cylinder head of a most recent generation Euro 5 engine. The original data, from a sequence of crank-angle resolved images, are treated by ICA in order to identify leading independent structures. Two main independent components (IC) are extracted from sets of luminosity images, and the coefficients of the ICs are then used for further analysis, to study the transient during a single cycle, and for the assessment of cycle variability, along with data of dynamic in-cylinder pressure, rate of heat release and integral luminosity. In the analysis of a single cycle, the two independent components appear to be clearly separated and related to combustion events near the fuel jets and near the bowl walls, respectively. The analysis over the cycles separates the mean combustion luminosity field at each crank angle from the random, erratic flame structures related to cycle variability. Quantitative analysis of the statistics of the two independent components confirms the lower variability of the jet flames and the high variability of combustion near the chamber walls. This is in agreement with the idea that the extensive impingement of the fuel sprays on to the piston bowl walls in modern, high-speed, direct injection Diesel engines is responsible for increase of unburned hydrocarbons and smoke emissions. The developed procedure, including the ICA, is fast and reliable and can be prospectively applied to many different optical engine configurations.

We evaluated frontal brain activation during a mixed attentional/working memory task with graded levels of difficulty in a group of 19 healthy subjects, by means of time-domain functional near-infrared spectroscopy (fNIRS). Brain activation was assessed, and load-related oxy- and deoxy-hemoglobin changes were studied. Generalized linear model (GLM) was applied to the data to explore the metabolic processes occurring during the mental effort and, possibly, their involvement in short-term memorization. GLM was applied to the data twice: for modeling the task as a whole and for specifically investigating brain activation at each cognitive load. This twofold employment of GLM allowed (1) the extraction and isolation of different information from the same signals, obtained through the modeling of different cognitive categories (sustained attention and working memory), and (2) the evaluation of model fitness, by inspection and comparison of residuals (i.e., unmodeled part of the signal) obtained in the two different cases. Results attest to the presence of a persistent attentional-related metabolic activity, superimposed to a task-related mnemonic contribution. Some hemispherical differences have also been highlighted frontally: deoxy-hemoglobin changes manifested a strong right lateralization, whereas modifications in oxy- and total hemoglobin showed a medial localization. The present work successfully explored the capability of fNIRS to detect the two neurophysiological categories under investigation and distinguish their activation patterns. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE).

This paper reports on 2D images of combustion-related luminosity taken in two optically accessible automobile engines of the most recent generation. The results are discussed to elucidate physical phenomena in the combustion chambers. Then, proper orthogonal decomposition (POD) is applied to the acquired images. The coefficients of the orthogonal modes are then used for the analysis of cycle variability, along with data of dynamic in-cylinder pressure and rate of heat release. The advantage is that statistical analysis can be run on a small number of scalar coefficients rather than on the full data set of pixel luminosity values. Statistics of the POD coefficients provide information on cycle variations of the luminosity field. POD modes are then discriminated by means of normality tests, to separate the mean from the coherent and the incoherent parts of the fluctuation of the luminosity field, in a non-truncated representation of the data. The morphology of the fluctuation components can finally be reconstructed by grouping coherent and incoherent modes. The structure of the incoherent component of the fluctuation is consistent with the underlying turbulent field.

We evaluated frontal brain activation during a working memory task with graded levels of difficulty in a group of 19 healthy subjects, by means of time-resolved fNIRS technique. Brain activation was computed, and was then separated into a "block-related" and a "tonic" components. Load-related increases of blood oxygenation were studied for the four different levels of task difficulty. Generalized Linear Models were applied to the data in order to explore the metabolic processes occurring during the mental effort and, possibly, their involvement in short term memorization. Results attest the presence of a persistent attentional-related metabolic activity, superimposed to a task-related mnemonic contribution. Moreover, a systemic component probably deriving from the extra-cerebral capillary bed was detected. © 2009 SPIE.

We report about two-photon activation of a photoactivatable derivative of the Aequorea Victoria green fluorescent protein (paGFP). This special form of the molecule increases its fluorescence intensity when excited by 488 nm after irradiation with high intensity tight at 413 nm. The aim in this work was to evaluate the use of two-photon interactions for confining the molecular switching of pa-GFP in the bright state. Therefore experiments were performed using fixed and living cells which were expressing the paGFP fluorophore and microspheres whose surface was modified by specific adsorption of the chromophores. The molecular switches were activated in a range of wavelength from 720 nm to 840 nm. The optimal wavelength for activation was then chosen for cell imaging. A comparison between the conventional activation and two-photon mode demonstrates clearly the better three-dimensional (3D) confinement and the possibility of selection of cell volumes of interest. This enables molecular trafficking studies at high signal to noise ratio.