HD Images Research Articles

FaSS-MVS: Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-Borne Monocular Imagery.

With FaSS-MVS, we present a fast, surface-aware semi-global optimization approach for multi-view stereo that allows for rapid depth and normal map estimation from monocular aerial video data captured by unmanned aerial vehicles (UAVs). The data estimated by FaSS-MVS, in turn, facilitate online 3D mapping, meaning that a 3D map of the scene is immediately and incrementally generated as the image data are acquired or being received. FaSS-MVS is composed of a hierarchical processing scheme in which depth and normal data, as well as corresponding confidence scores, are estimated in a coarse-to-fine manner, allowing efficient processing of large scene depths, such as those inherent in oblique images acquired by UAVs flying at low altitudes. The actual depth estimation uses a plane-sweep algorithm for dense multi-image matching to produce depth hypotheses from which the actual depth map is extracted by means of a surface-aware semi-global optimization, reducing the fronto-parallel bias of Semi-Global Matching (SGM). Given the estimated depth map, the pixel-wise surface normal information is then computed by reprojecting the depth map into a point cloud and computing the normal vectors within a confined local neighborhood. In a thorough quantitative and ablative study, we show that the accuracy of the 3D information computed by FaSS-MVS is close to that of state-of-the-art offline multi-view stereo approaches, with the error not even an order of magnitude higher than that of COLMAP. At the same time, however, the average runtime of FaSS-MVS for estimating a single depth and normal map is less than 14% of that of COLMAP, allowing us to perform online and incremental processing of full HD images at 1-2 Hz.

Unveiling the HD 95086 system at mid-infrared wavelengths with JWST/MIRI

Context. Mid-infrared imaging of exoplanets and disks is now possible with the coronographs of the Mid-InfraRed Instrument (MIRI) on the James Webb Space Telescope (JWST). This wavelength range unveils new features of young directly imaged systems and allows us to obtain new constraints for characterizing the atmosphere of young giant exoplanets and associated disks. Aims. These observations aim to characterize the atmosphere of the planet HD 95086 b by adding mid-infrared information so that the various hypotheses about its atmospheric parameters values can be unraveled. Improved images of cirsumstellar disks are provided. Methods. We present the MIRI coronagraphic imaging of the system HD 95086 obtained with the F1065C, F1140, and F2300C filters at central wavelengths of 10.575 µm, 11.3 µm, and 23 µm, respectively. We explored the method for subtracting the stellar diffraction pattern in the particular case when bright dust emitting at short separation is present. Furthermore, we compared different methods for extracting the photometry of the planet. Using the atmospheric models Exo-REM and ATMO, we measured the atmospheric parameters of HD 95086 b. Results. The planet HD 95086 b is detected at the two shortest MIRI wavelengths F1065C and F1140C. The contribution from the inner disk of the system is also detected. It is similar to that in the HR 8799 system. The outer colder belt is imaged at 23 µm. Background objects are observed in all filters. The mid-infrared photometry provides better constraints on the atmospheric parameters. We evaluate a temperature of 800–1050 K, consistent with one previous hypothesis that only used near-infrared data. The radius measurement of 1.0–1.14 RJup is better aligned with evolutionary models, but still smaller than predicted. These observations allow us to refute the hypothesis of a warm circumplanetary disk. Conclusions. HD 95086 is one of the first exoplanetary systems to be revealed at mid-infrared wavelengths. This highlights the interests and challenges of observations at these wavelengths.

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Stable diffusion, a generative model used in text-to-image synthesis, frequently encounters resolution-induced composition problems when generating images of varying sizes. This issue primarily stems from the model being trained on pairs of single-scale images and their corresponding text descriptions. Moreover, direct training on images of unlimited sizes is unfeasible, as it would require an immense number of text-image pairs and entail substantial computational expenses. To overcome these challenges, we propose a two-stage pipeline named Any-Size-Diffusion (ASD), designed to efficiently generate well-composed HD images of any size, while minimizing the need for high-memory GPU resources. Specifically, the initial stage, dubbed Any Ratio Adaptability Diffusion (ARAD), leverages a selected set of images with a restricted range of ratios to optimize the text-conditional diffusion model, thereby improving its ability to adjust composition to accommodate diverse image sizes. To support the creation of images at any desired size, we further introduce a technique called Fast Seamless Tiled Diffusion (FSTD) at the subsequent stage. This method allows for the rapid enlargement of the ASD output to any high-resolution size, avoiding seaming artifacts or memory overloads. Experimental results on the LAION-COCO and MM-CelebA-HQ benchmarks demonstrate that ASD can produce well-structured images of arbitrary sizes, cutting down the inference time by 2X compared to the traditional tiled algorithm. The source code is available at https://github.com/ProAirVerse/Any-Size-Diffusion.

Slow flow HD and traditional CDFI technologies in identifying pulmonary veins in the first trimester.

This study aims to assess the feasibility and effectiveness of color doppler flow imaging (CDFI) technology and the Slow Flow HD imaging technique in identifying fetal pulmonary veins (PVs) in the first trimester (11-13 + 6weeks), and further explore the factors affecting fetal pulmonary vein identification in early pregnancy. Echocardiography and scanning of PVs were performed in 240 normal singleton fetuses in early pregnancy by using CDFI and slow flow HD techniques, to compare the ability of two methods to identify the PVs. Slow Flow HD technology was used to further investigate the difference of PVs identification at different gestational ages [group I (11-11 + 6weeks), group II (12-12 + 6weeks), group III (13-13 + 6weeks)] and with different maternal body mass indices (BMI) (≥ 25 and < 25). In 31 cases of 240 fetuses, transvaginal ultrasonography was added due to maternal habitus or significant retroversion of the uterus, and the difference in PVs identification between transabdominal and transvaginal examination was analyzed. Successful PVs identification rates via CDFI and Slow Flow HD were 32.0% and 88.3%, respectively (p < 0.05). The identification rate of at least one and two pulmonary veins in Slow Flow HD was 88.3% and 76.2%, and all four pulmonary veins in 11.6% (p < 0.05). The identification rate of group I, II and III were 76.4%, 88.9% and 96.0%, respectively. The identification rate was 45.1% in the transabdominal ultrasound group and 83.8% in the transvaginal ultrasound group. The identification rate was 62.5% in the BMI ≥ 25 group and 94.7% in the BMI < 25 group (p < 0.05). Slow Flow HD can detect PVs in early pregnancy more often than using CDFI. Slow Flow HD is a feasible and effective imaging technique for evaluating PVs in early pregnancy.

The effects of 3D/Full HD and 2D/Ultra HD imaging systems on suturing skills during total laparoscopic hysterectomy: a prospective cohort study.

2D/Ultra HD and 3D/Full HD imaging systems can provide surgeons with more accurate and detailed views of the surgical site. We aimed to compare the effects of 2D/Ultra HD and 3D/Full HD laparoscopy systems on laparoscopic suturing skills during total laparoscopic hysterectomy. In this prospective cohort study, patients were recruited from a tertiary hospital, and demographic data and surgical data were recorded. The primary outcome measures were the durations of the total operation and vaginal cuff closure. Secondary outcome measures were colpotomy duration, total number of sutures placed, duration of first, second, third and fourth sutures, mean suturing duration, total operation duration, the surgeon's perception of difficulty during the vaginal cuff suturing and complications. The 3D/Full HD (n = 39) and 2D/Ultra HD (n = 42) groups were compared in terms of age, BMI, number of previous abdominal surgeries, number of previous cesarean sections, and type of delivery were examined. Both groups were considered homogeneous. The 3D/Full HD group was found to be superior in terms of colpotomy duration, duration of the first, second, and third suture, mean suturing duration, vaginal cuff closure duration, and difficulty of use compared to 2D/Ultra HD group (p < 0.05 for all). In conclusion, the use of 3D/Full HD laparoscopy systems can lead to improved surgical outcomes in terms of colpotomy duration, duration of the first, second, and third suture, mean suturing duration, vaginal cuff closure duration, and difficulty of use compared to 2D/Ultra HD systems.

Doppler imaging of a southern ApSi star HD 152564

ABSTRACT We present the results of the spectroscopic study of a chemically peculiar star HD 152564. Using medium-resolution (R = 37 000) observations obtained with the high-resolution fibre échelle spectrograph mounted on the South African Large Telescope, we determined atmospheric parameters Teff = 11 950 ± 200 K and log g = 3.6 ± 0.2 dex. Abundance analysis revealed mild deficiency of the light elements and an overabundance of up to ∼2 dex of metals, with the greatest excess for silicon. With these characteristics, HD 152564 is a typical member of the silicon subgroup of Ap stars. The rotational modulation of the light curve and line profiles of HD 152564 are typical for the inhomogeneous surface distribution of elements in its atmosphere. We performed multi-element Doppler imaging of the surface of HD 152564. Abundance maps constructed for He, O, Mg, Si, and Fe revealed the concentration of these elements in a sequence of equatorial spots as well as in the circumpolar rings. The photometric maximum of the light curve coincided with the visibility of two most overabundant silicon spots. Abundances determined from the different ionization stages of Fe and Si show clear evidence for vertical stratification of these elements in the atmosphere of HD 152564. Meanwhile, the horizontal distribution of silicon reconstructed from the lines of different ionization stages and excitation energies appears to be identical with increasing average abundance deeper in atmosphere.

The first scattered light images of HD 112810, a faint debris disk in the Sco-Cen association

Context. Circumstellar debris disks provide insight into the formation and early evolution of planetary systems. Resolved belts in particular help to locate planetesimals in exosystems, and can hint at the presence of disk-sculpting exoplanets. Aims. We study the circumstellar environment of HD 112810 (HIP 63439), a mid-F-type star in the Sco-Cen association with a significant infrared excess indicating the presence of a circumstellar debris disk. Methods. We collected five high-contrast observations of HD 112810 with VLT/SPHERE. We identified a debris disk in scattered light, and found that the debris signature is robust over a number of epochs and a variety of reduction techniques. We modeled the disk, accounting for self-subtraction and assuming that it is optically thin. Results. We find a single-belt debris disk, with a radius of 118 ± 9 au and an inclination angle of 75.7−1.3+1.1. This is in good agreement with the constraints from spectral energy distribution modeling and from a partially resolved ALMA image of the system. No planets are detected, though planets below the detection limit (~2.6 MJ at a projected separation of 118 au) could be present and could have contributed to sculpting the ring of debris. Conclusions. HD 112810 adds to the growing inventory of debris disks imaged in scattered light. The disk is faint, but the radius and the inclination of the disk are promising for follow-up studies of the dust properties.

Efficacy and outcome of indocyanine green-based intraoperative cholangiography using near-infrared fluorescence imaging: A prospective study.

The most dreaded complication during laparoscopic cholecystectomy still remains to be injury to the common bile duct. The primary cause for bile duct injury during LC is misinterpretation of the biliary anatomy. Intra-operative cholangiography was introduced as a means of reducing the chances of biliary injury, done using Fluoroscopic imaging or Near-infrared fluorescence imaging method. NIRF is one of the most popular imaging methods in biomedical sciences. Indocyanine Green is sterile and water soluble which completely binds to albumin and is excreted in bile. This prospective study was conducted among 70 patients between July 2020 and December 2021. Subjects were administered 5mg of ICG dye pre-operatively and procedure performed using Karl Storz HD image S1 system with a D-light P light source for NIRF imaging. The average duration of surgery was 58.10 minutes. After calot's dissection, the CBD was visualized in 88.71 % patients, with a mean time to visualization at 26.33 minutes. The cystic duct was visualized in 87.3% cases with a mean time of visualization of 32.10 minutes. The hepatic duct was visualized in 28.57% and the hepatic duct-CBD confluence was visualized in 34.28% patients. Near infrared imaging based intra-operative cholangiography, using Indocyanine Green dye, during Lap. Cholecystectomy is an easy, useful and inexpensive method of visualizing the biliary ductal anatomy.

Perineural invasion detection in pancreatic ductal adenocarcinoma using artificial intelligence

Perineural invasion (PNI) refers to the presence of cancer cells around or within nerves, raising the risk of residual tumor. Linked to worse prognosis in pancreatic ductal adenocarcinoma (PDAC), PNI is also being explored as a therapeutic target. The purpose of this work was to build a PNI detection algorithm to enhance accuracy and efficiency in identifying PNI in PDAC specimens. Training used 260 manually segmented nerve and tumor HD images from 6 scanned PDAC cases; Analytical performance analysis used 168 additional images; clinical analysis used 59 PDAC cases. The algorithm pinpointed key areas of tumor-nerve proximity for pathologist confirmation. Analytical performance reached sensitivity of 88% and 54%, and specificity of 78% and 85% for the detection of nerve and tumor, respectively. Incorporating tumor-nerve distance in clinical evaluation raised PNI detection from 52 to 81% of all cases. Interestingly, pathologist analysis required an average of only 24 s per case. This time-efficient tool accurately identifies PNI in PDAC, even with a small training cohort, by imitating pathologist thought processes.

A data science approach for multi-sensor marine observatory data monitoring cold water corals (Paragorgia arborea) in two campaigns.

Fixed underwater observatories (FUO), equipped with digital cameras and other sensors, become more commonly used to record different kinds of time series data for marine habitat monitoring. With increasing numbers of campaigns, numbers of sensors and campaign time, the volume and heterogeneity of the data, ranging from simple temperature time series to series of HD images or video call for new data science approaches to analyze the data. While some works have been published on the analysis of data from one campaign, we address the problem of analyzing time series data from two consecutive monitoring campaigns (starting late 2017 and late 2018) in the same habitat. While the data from campaigns in two separate years provide an interesting basis for marine biology research, it also presents new data science challenges, like the the marine image analysis in data form more than one campaign. In this paper, we analyze the polyp activity of two Paragorgia arborea cold water coral (CWC) colonies using FUO data collected from November 2017 to June 2018 and from December 2018 to April 2019. We successfully apply convolutional neural networks (CNN) for the segmentation and classification of the coral and the polyp activities. The result polyp activity data alone showed interesting temporal patterns with differences and similarities between the two time periods. A one month "sleeping" period in spring with almost no activity was observed in both coral colonies, but with a shift of approximately one month. A time series prediction experiment allowed us to predict the polyp activity from the non-image sensor data using recurrent neural networks (RNN). The results pave a way to a new multi-sensor monitoring strategy for Paragorgia arborea behaviour.

Chasing extreme planetary architectures

Context. Planet(s) in binaries are unique architectures for testing predictions of planetary formation and evolution theories in very hostile environments. Their presence in such a highly perturbed region poses a clear challenge from the early phase of planetesimals accretion to the dynamical evolution and stability through a very long period of time (several Gyrs in some case). Aims. The combination of radial velocity, speckle interferometry, high-contrast imaging and high-precision astrometry with interfer-ometry, offers a unique and unprecedented set of observable to push the exploration of the extreme planetary system HD 196885. By dissecting the physical and orbital properties of each component, we aim at shedding light on its global architecture and stability. Methods. We used the IRDIS dual-band imager of SPHERE at VLT, and the speckle interferometric camera HRCAM of SOAR, to acquire high-angular resolution images of HD 196885 AB between 2015 and 2020. Radial velocity observations started in 1983 with CORAVEL at OHP have been extended with a continuous monitoring with CORALIE at La Silla, and ELODIE and SOPHIE at OHP over almost 40 yr extending the radial velocity measurements HD 196885 A and resolving both the binary companion and the inner giant planet HD 196885 Ab. Finally, we took advantage of the exquisite astrometric precision of the dual-field mode of VLTI/GRAVITY (down to 30 µas) to monitor the relative position of HD 196885 A and B to search for the 3.6 yr astrometric wobble of the circumpri-mary planet Ab imprinted on the binary separation. Results. Our observations enable to accurately constrain the orbital properties of the binary HD 196885 AB, seen on an inclined and retrograde orbit (iAB = 120.43 deg) with a semi-major axis of 19.78 au, and an eccentricity of 0.417. The GRAVITY measurements confirm for the first time the nature of the inner planet HD 196885 Ab by rejecting all families of pole-on solutions in the stellar or brown dwarf masses. The most favored island of solutions is associated with a Jupiter-like planet (MAb = 3.39 MJup), with moderate eccentricity (eAaAb = 0.44), and inclination close to 143.04 deg. This results points toward a significant mutual inclination (Ф = 24.36 deg) between the orbital planes (relative to the star) of the binary companion B and the planet Ab. Our dynamical simulations indicate that the system is dynamically stable over time. Eccentricity and mutual inclination variations could be expected for moderate von Zipele Kozai Lidov cycles that may affect the inner planet.

An SMA Survey of Chemistry in Disks Around Herbig AeBe Stars

Protoplanetary disks around Herbig AeBe stars are exciting targets for studying the chemical environments where giant planets form. Save for a few disks, however, much of Herbig AeBe disk chemistry is an open frontier. We present a Submillimeter Array ∼213–268 GHz pilot survey of millimeter continuum CO isotopologs and other small molecules in disks around five Herbig AeBe stars (HD 34282, HD 36112, HD 38120, HD 142666, and HD 144432). We detect or tentatively detect 12CO 2–1 and 13CO 2–1 from four disks, C18O 2–1 and HCO+ 3–2 from three disks, HCN 3–2, CS 5–4, and DCO+ 3–2 from two disks, and C2H 3–2 and DCN 3–2 from one disk each. H2CO 3–2 is undetected at the sensitivity of our observations. The millimeter continuum images of HD 34282 suggest a faint, unresolved source ∼5.″0 away, which could arise from a distant orbital companion or an extended spiral arm. We fold our sample into a compilation of T Tauri and Herbig AeBe/F disks from the literature. Altogether, most line fluxes generally increase with millimeter continuum flux. Line flux ratios between CO 2–1 isotopologs are nearest to unity for the Herbig AeBe/F disks. This may indicate emitting layers with relatively similar, warmer temperatures and more abundant CO relative to the disk dust mass. Lower HCO+ 3–2 flux ratios may reflect lower ionization in Herbig AeBe/F disks. Lower detection rates and flux ratios for DCO+ 3–2, DCN 3–2, and H2CO 3–2 suggest smaller regimes of cold chemistry around the luminous Herbig AeBe/F stars.

Image lossless compression algorithm optimization and FPGA implementation

In this thesis, a minimum redundant prefix coding with higher compression ratio and lower time complexity is proposed for lossless compression of HD images. The compression algorithm is based on Canonical Huffman coding, preprocesses the data source to be compressed according to the image data features, and then compresses the data in batches using the locally uneven features in the data, which improves the compression ratio by 1.678 times compared with the traditional canonical Huffman coding. During the implementation of the algorithm, the counting sorting method with lower time complexity and the code-length table construction method without relying on binary trees are used to reduce the complexity of the algorithm and achieve the purpose of real-time data processing by the system. Finally, the proposed compression algorithm is deployed in FPGA to improve the encoding rate by parallel hardware circuit and pipeline design.

Transmission of 3D holographic information over a radio channel by a method close to SSB

The results of the research on the possibility of transmitting holographic information over the Wi-Fi 40 MHz radio channel are presented. It is shown that the use of two main 3D image modalities for this, — a depth map of the holographic object and the texture of its surface, is sufficient to synthesize a full-fledged hologram at the receiving end of the communication channel, restoring the holographic object with continuous vertical and horizontal parallax. The method of transmitting 3D holographic information is similar to the well–known in radio engineering method of transmitting information on one sideband (Single-sideband modulation, SSB). The essential difference of the proposed method is that the spatial frequencies forming the hologram are the result of simultaneous amplitude and phase modulation of the reference signal. This complicates their theoretical analysis. Experimental confirmation of the possibility of such a transfer was performed using a free FTP client with open source FileZilla. A communication protocol has been applied to transmit information over a wireless Wi-Fi channel. It is shown that the transmitted information stream is sufficient to synthesize a hologram reconstructing 3D images at the receiving end of the communication channel. At the same time, the holographic image of a dynamically changing object with a television frame rate has continuous horizontal and vertical parallax, and the spatial resolution of the restored image was no worse than a high-definition television image of Full HD. The possibility of transmitting all the necessary information over the radio channel to reproduce a holographic 3D video stream at the receiving end of the channel with a resolution not lower than in high-definition television standards with continuous parallax has been experimentally confirmed.

Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification

AbstractIn medical science, imaging is the most effective diagnostic and therapeutic tool. Almost all modalities have transitioned to direct digital capture devices, which have emerged as a major future healthcare option. Three diseases such as Alzheimer's (AD), Haemorrhage (HD), and COVID‐19 have been used in this manuscript for binary classification purposes. Three datasets (AD, HD, and COVID‐19) were used in this research out of which the first two, that is, AD and HD belong to brain Magnetic Resonance Imaging (MRI) and the last one, that is, COVID‐19 belongs to Chest X‐Ray (CXR) All of the diseases listed above cannot be eliminated, but they can be slowed down with early detection and effective medical treatment. This paper proposes an intelligent method for classifying brain (MRI) and CXR images into normal and abnormal classes for the early detection of AD, HD, and COVID‐19 based on an ensemble deep neural network (DNN). In the proposed method, the convolutional neural network (CNN) is used for automatic feature extraction from images and long‐short term memory (LSTM) is used for final classification. Moreover, the Hill‐Climbing Algorithm (HCA) is implemented for finding the best possible value for hyper parameters of CNN and LSTM, such as the filter size of CNN and the number of units of LSTM while fixing the other parameters. The data‐set is pre‐processed (resized, cropped, and noise removed) before feeding the train images to the proposed models for accurate and fast learning. Forty‐five MR images of AD, Sixty MR images of HD, and 600 CXR images of COVID‐19 were used for testing the proposed model ‘CNN‐LSTM‐HCA’. The performance of the proposed model is evaluated using six types of statistical assessment metrics such as; Accuracy, Sensitivity, Specificity, F‐measure, ROC, and AUC. The proposed model compared with the other three types of hybrid models such as CNN‐LSTM‐PSO, CNN‐LSTM‐Jaya, and CNN‐LSTM‐GWO and also with state‐of‐art techniques. The overall accuracy of the proposed model received was 98.87%, 85.75%, and 99.1% for COVID‐19, Haemorrhage, and Alzheimer's data sets, respectively.

AInBody: Are you in shape? - An integrated deep learning model that tracks your body measurement

This paper presents AInBody, a novel deep learning-based body shape measurement solution. We have devised a user-centered design that automatically tracks the progress of the body by adequately integrating various methods, including human parsing, instance segmentation, and image matting. Our system guides a user's pose when taking photos by displaying the outline of the latest picture of the user, divides the human body into several parts, and compares before and after photos of the body part level. The parsing performance has been improved through an ensemble approach and a denoising phase in our main module, Advanced Human Parser. In evaluation, the proposed method is 0.1% to 4.8% better than the other best-performing model in average precision in 3 out of 5 parts, and 1.4% and 2.4% superior in mAP and mean IoU, respectively. Furthermore, the inference time of our framework takes approximately three seconds to process one HD image, demonstrating that our structure can be applied to real-time applications.

OR22-4 Homing of Antigen-specific Engineered Regulatory T Cells To Human Pancreatic Islets

Abstract The therapeutic application of regulatory T cells (Tregs) for the treatment of autoimmune disorders, although efficacious, has been limited by the scarcity of antigen-specific Tregs. If antigen-specific Tregs, capable of reaching the desired autoimmune target, could be produced on demand, antigen-specific immune suppression of autoimmune diseases would be achievable. One approach to endow T cells with a desired antigen-specificity uses chimeric T cell antigen-receptors (CAR) with antibody-type specificity. Adoptive cell transfer therapies with CAR-re-directed cytotoxic T cells, have shown impressive efficacy in the treatment of hematologic malignancies. Accordingly, employing such technology to re-direct Tregs to sites of autoimmune attack may be a useful therapeutic approach to alleviate a broad spectrum of diseases in which uncontrolled auto and alloimmune responses play a major role. We recently developed pancreatic beta-cell, antigen-specific, CAR Tregs (1) and explored their therapeutic potential against T1D in our humanized mouse model (2). Ours is the first successful, antigen-specific CAR-Treg treatment of T1D in a humanized mouse model that closely resembles the human disease. Based on our mice data, we believe treatment with pancreatic beta-cell, antigen-specific CAR-Tregs will allow for recovery and reconstitution of beta cells in human T1D patients as well. The purpose of this study was to determine if antigen-specific human CAR Tregs could also identify target and home to human pancreatic islets in culture as they do in mice. The study involved drawing 10 cc of blood 1-2 weeks prior to pancreas surgery; followed by collection of a small piece of pancreas (5 cc wedge) once the pancreas was removed for a clinical indication (cancer, pancreatitis). We first isolated Tregs from peripheral blood of these human donors and expanded them in vitro. Treg cells were genetically modified to express either a beta-cell antigen-specific (GAD65) CAR or an irrelevant (EPCAM) CAR construct together with GFP marker. CAR Tregs were selectively expanded in the presence of rhGAD65 antigen. Once pancreas tissue became available, it was processed for islet separation using the collagenase method. Pancreatic islets were then co-cultured with syngeneic CAR Tregs for 7 days. IncuCyte S3 Live-cell System (Sartorius) is a real-time system that automatically acquires and analyzes HD, phase and fluorescent images of cell cultures, around the clock, for 7 days, while cells remain undisturbed. Live immunofluorescence microscopy demonstrated the distinct homing of GAD65 CAR Tregs to islets as compared to control EPCAM CAR Tregs as early as 24 hours of co-culture. Importantly, proliferation of GAD65 CAR Tregs was clearly demonstrated within 72 hours. GAD65 CAR Treg cytokine profile from co-culture supernatant was characteristic of activated Tregs. 1 PATENT #WO2020097546 2 PATENT #US20200037586 Presentation: Monday, June 13, 2022 11:45 a.m. - 12:00 p.m.

High-contrast imaging of HD 29992 and HD 196385 with the Gemini Planet Imager

ABSTRACT Based on high-contrast images obtained with the Gemini Planet Imager (GPI), we report the discovery of two point-like sources at angular separations ρ ∼ 0.18 and 0.80 arcsec from the stars HD 29992 and HD 196385. A combined analysis of the new GPI observations and images from the literature indicates that the source close to HD 29992 could be a companion to the star. Concerning HD 196385, the small number of contaminants (∼0.5) suggests that the detected source may be gravitationally bound to the star. For both systems, we discarded the presence of other potential companions with m &amp;gt; 75 MJup at ρ ∼ 0.3–1.3 arcsec. From stellar model atmospheres and low-resolution GPI spectra, we derive masses of ∼0.2–0.3 M⊙ for these sources. Using a Markov-chain Monte Carlo approach, we performed a joint fit of the new astrometry measurements and published radial velocity data to characterize the possible orbits. For HD 196385B, the median dynamic mass is in agreement with that derived from model atmospheres, whilst for HD 29992B the orbital fit favours masses close to the brown dwarf regime (∼0.08 M⊙). HD 29992 and HD 196385 might be two new binary systems with M-type stellar companions. However, new high angular resolution images would help to confirm definitively whether the detected sources are gravitationally bound to their respective stars, and permit tighter constraints on the orbital parameters of both systems.

In-depth direct imaging and spectroscopic characterization of the young Solar System analog HD 95086

Context. HD 95086 is a young nearby Solar System analog hosting a giant exoplanet orbiting at 57 au from the star between an inner and outer debris belt. The existence of additional planets has been suggested as the mechanism that maintains the broad cavity between the two belts. Aims. We present a dedicated monitoring of HD 95086 with the VLT/SPHERE instrument to refine the orbital and atmospheric properties of HD 95086 b, and to search for additional planets in this system. Methods. SPHERE observations, spread over ten epochs from 2015 to 2019 and including five new datasets, were used. Combined with archival observations, from VLT/NaCo (2012-2013) and Gemini/GPI (2013-2016), the extended set of astrometric measurements allowed us to refine the orbital properties of HD 95086 b. We also investigated the spectral properties and the presence of a circumplanetary disk around HD 95086 b by using the special fitting tool exploring the diversity of several atmospheric models. In addition, we improved our detection limits in order to search for a putative planet c via the K-Stacker algorithm. Results. We extracted for the first time the JH low-resolution spectrum of HD 95086 b by stacking the six best epochs, and confirm its very red spectral energy distribution. Combined with additional datasets from GPI and NaCo, our analysis indicates that this very red color can be explained by the presence of a circumplanetary disk around planet b, with a range of high-temperature solutions (1400–1600 K) and significant extinction (Av ≳ 10 mag), or by a super-solar metallicity atmosphere with lower temperatures (800–300 K), and small to medium amount of extinction (Av ≲ 10 mag). We do not find any robust candidates for planet c, but give updated constraints on its potential mass and location.

FPGA Design of Real Time Hardware for Face Detection

This paper proposes the hardware architecture of face detection FPGA hardware system using the AdaBoost algorithm. The proposed structure of face detection hardware system is possible to work in 30 frames per second and in real time. And the AdaBoost algorithm is adopted to learn and generate the characteristics of the face data by MATLAB, and finally detected the face using this data. This paper describes the face detection hardware structure composed of image scaler, integral image extraction, face comparing, memory interface, data grouper and detected result display. The proposed circuit is so designed to process one point in one cycle that the proposed design can process full HD (1920x1080) image at 70MHz, which is approximate 2316087 x 30 cycle.