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Elena Muraro, Carlo Furlan, Michele Avanzo, Debora Martorelli, Elisa Comaro, Aurora Rizzo, Damiana A Fae', Massimiliano Berretta, Loredana Militello, Alessandro Del Conte, Simon Spazzapan, Riccardo Dolcetti, Marco Trovo'
Local irradiation of cancer through radiotherapy can induce spontaneous regression of non-directly irradiated lesions, suggesting the involvement of systemic antitumor immune responses. In oligometastatic breast cancer (BC) patients, the use of stereotactic body radiotherapy (SBRT) favors the local control of treated lesions and may contribute to break local tolerance and release tumor-associated antigens (TAAs), improving host antitumor immunity. We performed a detailed immunomonitoring of BC patients undergoing SBRT to verify its ability to "switch on" the anti-tumor immunity both systemically, in peripheral blood, and locally, employing in vitro BC models...
2017: Frontiers in Immunology
Man-Tang Chen, Yan-Jing Yang, Yu-Sang Li, Xiao-Jun Li, Wei K Zhang, Jin-Ping Wang, Xu Wang, Gui-Hua Tian, He-Bin Tang
Shengfu oil is a traditional Chinese medicine formula containing 16 ingredients, including Scutellariae radix, Olibanum, and Rehmanniae radix. In this study, we aimed to enhance the wound healing of rabbit full-thickness scalded skin by Shengfu oil and to elucidate its regulatory effects on β-catenin, Dlk1, and COX-2. We found that Shengfu oil exhibited significant anti-inflammatory, analgesic, and antimicrobial activities. The structure of wound tissues in Shengfu oil group was intact, including regenerated cutaneous appendages, indicating better healing capability of Shengfu oil compared to the controls...
2017: Frontiers in Pharmacology
Saabah B Mahbub, Martin Plöschner, Martin E Gosnell, Ayad G Anwer, Ewa M Goldys
Bioimaging using endogenous cell fluorescence, without any external biomarkers makes it possible to explore cells and tissues in their original native state, also in vivo. In order to be informative, this label-free method requires careful multispectral or hyperspectral recording of autofluorescence images followed by unsupervised extraction (unmixing) of biochemical signatures. The unmixing is difficult due to the scarcity of biochemically pure regions in cells and also because autofluorescence is weak compared with signals from labelled cells, typically leading to low signal to noise ratio...
November 17, 2017: Scientific Reports
Kate Sendin, Marena Manley, Paul J Williams
Multispectral imaging with object-wise multivariate image analysis was evaluated for its potential to grade whole white maize kernels. The types of defective materials regarded in grading legislation were divided into 13 classes, and were imaged with a multispectral imaging instrument spanning the UV, visible and NIR regions (19 wavelengths ranging from 375 to 970nm). Object-wise partial least squares discriminant analysis (PLS-DA) models were developed and validated with an independent data set. Results demonstrated good performance in distinguishing between sound maize and undesirable materials, with cross-validated coefficients of determination (Q(2)) and classification accuracies ranging from 0...
March 15, 2018: Food Chemistry
Francisco Eugenio, Javier Marcello, Javier Martin, Dionisio Rodríguez-Esparragón
Remote multispectral data can provide valuable information for monitoring coastal water ecosystems. Specifically, high-resolution satellite-based imaging systems, as WorldView-2 (WV-2), can generate information at spatial scales needed to implement conservation actions for protected littoral zones. However, coastal water-leaving radiance arriving at the space-based sensor is often small as compared to reflected radiance. In this work, complex approaches, which usually use an accurate radiative transfer code to correct the atmospheric effects, such as FLAASH, ATCOR and 6S, have been implemented for high-resolution imagery...
November 16, 2017: Sensors
Fuhong Cai, Wen Lu, Wuxiong Shi, Sailing He
Spatially-explicit data are essential for remote sensing of ecological phenomena. Lately, recent innovations in mobile device platforms have led to an upsurge in on-site rapid detection. For instance, CMOS chips in smart phones and digital cameras serve as excellent sensors for scientific research. In this paper, a mobile device-based imaging spectrometer module (weighing about 99 g) is developed and equipped on a Single Lens Reflex camera. Utilizing this lightweight module, as well as commonly used photographic equipment, we demonstrate its utility through a series of on-site multispectral imaging, including ocean (or lake) water-color sensing and plant reflectance measurement...
November 15, 2017: Scientific Reports
Mark A J Gorris, Altuna Halilovic, Katrin Rabold, Anne van Duffelen, Iresha N Wickramasinghe, Dagmar Verweij, Inge M N Wortel, Johannes C Textor, I Jolanda M de Vries, Carl G Figdor
Therapies targeting immune checkpoint molecules CTLA-4 and PD-1/PD-L1 have advanced the field of cancer immunotherapy. New mAbs targeting different immune checkpoint molecules, such as TIM3, CD27, and OX40, are being developed and tested in clinical trials. To make educated decisions and design new combination treatment strategies, it is vital to learn more about coexpression of both inhibitory and stimulatory immune checkpoints on individual cells within the tumor microenvironment. Recent advances in multiple immunolabeling and multispectral imaging have enabled simultaneous analysis of more than three markers within a single formalin-fixed paraffin-embedded tissue section, with accurate cell discrimination and spatial information...
November 15, 2017: Journal of Immunology: Official Journal of the American Association of Immunologists
Jinchao Feng, Kebin Jia, Zhe Li, Brian W Pogue, Mingjie Yang, Yaqi Wang
Bioluminescence tomography (BLT) provides fundamental insight into biological processes in vivo. To fully realize its potential, it is important to develop image reconstruction algorithms that accurately visualize and quantify the bioluminescence signals taking advantage of limited boundary measurements. In this study, a new two-step reconstruction method for BLT is developed by taking advantage of the sparse a priori information of the light emission using multispectral measurements. The first step infers a wavelength-dependent prior by using all multi-wavelength measurements...
November 9, 2017: Journal of Biophotonics
Ralph P Mason
Multispectral optoacoustic tomography provides insights into tumor vascular oxygenation with high temporal and spatial resolution non-invasively. New work indicates that a simple oxygen breathing challenge can reveal differences in tumor, potentially as a prognostic biomarker.
2017: Theranostics
In Ja Park, Soyeon An, Sang-Yeob Kim, Hye Min Lim, Seung-Mo Hong, Mi-Ju Kim, Yun Jae Kim, Chang Sik Yu
We evaluate whether the tumor immune infiltrate (TIL) could be used for prediction of responsiveness to preoperative chemoradiotherapy (PCRT) in rectal cancers. Using formalin-fixed paraffin-embedded slides of pretreatment biopsies, co-stain for CD4, CD8, CD274 (PD-L1), FOXP3, cytokeratin, and DAPI was performed with Opal multi staining kit (Perkin-Elmer, Waltham, MA). Multispectral imaging and digital analysis to visualize and quantify specific immune infiltrates were performed using the Vectra imaging system (Perkin-Elmer)...
October 3, 2017: Oncotarget
Buxin Chen, Zheng Zhang, Emil Y Sidky, Dan Xia, Xiaochuan Pan
Optimization-based algorithms for image reconstruction in multispectral (or photon-counting) computed tomography (MCT) remains a topic of active research. The challenge of optimization-based image reconstruction in MCT stems from the inherently non-linear data model that can lead to a non-convex optimization program for which no mathematically exact solver seems to exist for achieving globally optimal solutions. In this work, based upon a non-linear data model, we design a non-convex optimization program, derive its first-order-optimality conditions, and propose an algorithm to solve the program for image reconstruction in MCT...
November 2, 2017: Physics in Medicine and Biology
Peng Xu, Haisong Xu, Changyu Diao, Zhengnan Ye
A self-training-based spectral reflectance recovery method was developed to accurately reconstruct the spectral images of art paintings with multispectral imaging. By partitioning the multispectral images with the k-means clustering algorithm, the training samples are directly extracted from the art painting itself to restrain the deterioration of spectral estimation caused by the material inconsistency between the training samples and the art painting. Coordinate paper is used to locate the extracted training samples...
October 20, 2017: Applied Optics
Jingcheng Zhang, Yanbo Huang, Lin Yuan, Guijun Yang, Liping Chen, Chunjiang Zhao
No abstract text is available yet for this article.
December 2017: Pest Management Science
Tomas Poblete, Samuel Ortega-Farías, Miguel Angel Moreno, Matthew Bardeen
Water stress, which affects yield and wine quality, is often evaluated using the midday stem water potential (Ψstem). However, this measurement is acquired on a per plant basis and does not account for the assessment of vine water status spatial variability. The use of multispectral cameras mounted on unmanned aerial vehicle (UAV) is capable to capture the variability of vine water stress in a whole field scenario. It has been reported that conventional multispectral indices (CMI) that use information between 500-800 nm, do not accurately predict plant water status since they are not sensitive to water content...
October 30, 2017: Sensors
Judy Zouaoui, Laura Di Sieno, Lionel Hervé, Antonio Pifferi, Andrea Farina, Alberto Dalla Mora, Jacques Derouard, Jean-Marc Dinten
Multicomponent phantom measurements are carried out to evaluate the ability of multispectral time domain diffuse optical tomography in reflectance geometry to quantify the position and the composition of small heterogeneities at depths of 1-1.5 cm in turbid media. Time-resolved data were analyzed with the Mellin-Laplace transform. Results show good localization and correct composition gradation of objects but still a lack of absolute material composition accuracy when no a priori geometry information is known...
October 1, 2017: Biomedical Optics Express
Shawn C Kefauver, Rubén Vicente, Omar Vergara-Díaz, Jose A Fernandez-Gallego, Samir Kerfal, Antonio Lopez, James P E Melichar, María D Serret Molins, José L Araus
With the commercialization and increasing availability of Unmanned Aerial Vehicles (UAVs) multiple rotor copters have expanded rapidly in plant phenotyping studies with their ability to provide clear, high resolution images. As such, the traditional bottleneck of plant phenotyping has shifted from data collection to data processing. Fortunately, the necessarily controlled and repetitive design of plant phenotyping allows for the development of semi-automatic computer processing tools that may sufficiently reduce the time spent in data extraction...
2017: Frontiers in Plant Science
Solomon G Tesfamichael, Aros Ndlovu
The effect of mining on water resources is severe and requires careful monitoring and management. Remote sensing has been used to characterize water quality indicators in efforts to fight mine-induced contamination. Much focus has however been placed on producing a qualitative classification of water qualities. Moreover, the number of variables considered in most studies is relatively small for a large number of hydrochemical constituents common in water bodies associated with gold mining activities. This study is aimed at quantifying a comprehensive list of field- and laboratory-measured chemical constituents of water samples from abandoned mines using remotely-sensed data...
October 21, 2017: Science of the Total Environment
B M Xavier, E Hildebrandt, F Jiang, H Ding, J C Kappes, I L Urbatsch
The Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) is a plasma membrane chloride channel protein that regulates vertebrate fluid homeostasis. The inefficiency of wild type human CFTR protein folding/trafficking is exacerbated by genetic mutations that can cause protein misfolding in the endoplasmic reticulum (ER) and subsequent degradation. This project investigates small changes in protein sequence that can alter the thermal stability of the large multi-domain CFTR protein. We target a conserved 70-residue α-subdomain located in the first nucleotide-binding domain that hosts the common misfolding mutation ∆F508...
October 1, 2017: Protein Engineering, Design & Selection: PEDS
Haiyu Meng, Lingling Wang, Guidong Liu, Xiongxiong Xue, Qi Lin, Xiang Zhai
We numerically investigate the optical performance of a periodically patterned H-shaped graphene array by the finite-difference time-domain (FDTD) in the mid-infrared region. The simulated results reveal that absorption spectra of the proposed structure consist of two dramatic narrowband perfect absorption peaks located at 6.3 μm (Mode 1) and 8.6 μm (Mode 2) with high absorption coefficients of 99.65% and 99.80%, respectively. Two impressive absorption bandwidths that are the full width at half-maximum (FWHM) of the resonant frequency of 90 nm and 188 nm are obtained...
July 20, 2017: Applied Optics
Hosangadi Prutvi Sagar, Vignesh Mahalingam, Debiprosad Roy Mahapatra, Gopalkrishna Hegde, Sathyanarayana Hanagud, Mohammad Rizwanur Rahman
This paper presents a new type of one-dimensional photonic crystal (PC) waveguide sensor and a technique for prediction of transient strain response accurately. The PC waveguide is integrated on a silicon substrate. We investigate the effect of non-uniform strain localization on the optical signal and use that information to capture the transient strain. Wavelength shift due to distributed strain field is modeled by incorporating the mechanically deformed geometry and photo-acoustic coupling through Pockels effect in a finite element formulation...
October 1, 2017: Applied Optics
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