Quantitative three-dimensional power Doppler angiography: a flow-free phantom experiment to evaluate the relationship between color gain, depth and signal artifact

Objectives To evaluate the presence of false flow three-dimensional (3D) power Doppler signals in `flow-free` models. Methods 3D power Doppler datasets were acquired from three different flow-free phantoms (muscle, air and water) with two different transducers and Virtual Organ Computer-aided AnaLysis was used to generate a sphere that was serially applied through the 3D dataset. The vascularization flow index was used to compare artifactual signals at different depths (from 0 to 6 cm) within the different phantoms and at different gain and pulse repetition frequency (PR F) settings. Results Artifactual Doppler signals were seen in all phantoms despite these being flow-free. The pattern was very similar and the degree of artifact appeared to be dependent on the gain and distance from the transducer. False signals were more evident in the far field and increased as the gain was increased, with false signals first appearing with a gain of 1 dB in the air and muscle phantoms. False signals were seen at a lower gain with the water phantom (-15 dB) and these were associated with vertical lines of Doppler artifact that were related to PRF, and disappeared when reflections were attenuated. Conclusions Artifactual Doppler signals are seen in flow-free phantoms and are related to the gain settings and the distance from the transducer. In the in-vivo situation, the lowest gain settings that allow the detection of blood flow and adequate definition of vessel architecture should be used, which invariably means using a setting near or below the middle of the range available. Additionally, observers should be aware of vertical lines when evaluating cystic or liquid-containing structures. Copyright (C) 2010 ISUOC. Published by John Wiley & Sons, Ltd.

Control of a white organic light emitting diode’s emission parameters using a single doped RGB active layer

White Color tuning is an attractive feature that Organic Light Emitting Diodes (OLEDs) offer. Up until now, there hasn’t been any report that mix both color tuning abilities with device stability. In this work, White OLEDs (W-OLEDs) based on a single RGB blend composed of a blue emitting N,N′-Di(1-naphthyl)-N,N′-diphenyl-(1,1′-biphenyl)-4,4′-diamine (NPB) doped with a green emitting Coumarin-153 and a red emitting 4-(Dicyanomethylene)-2-methyl-6-(4-dimethylaminostyryl)-4H-pyran (DCM1) dyes were produced. The final device structure was ITO/Blend/Bathocuproine (BCP)/ Tris(8-hydroxyquinolinato)aluminium (Alq3)/Al with an emission area of 0.25 cm2. The effects of the changing in DCM1’s concentration (from 0.5% to 1% wt.) allowed a tuning in the final white color resulting in devices capable of emitting a wide range of tunes – from cool to warm – while also keeping a low device complexity and a high stabilitty. Moreover, an explanation on the optoelectrical behavior of the device is presented. The best electroluminescense (EL) points toward 160 cd/m2 of brightness and 1.1 cd/A of efficiency, both prompted to being enhanced. An Impedance Spectroscopy (IS) analysis allowed to study both the effects of BCP as a Hole Blocking Layer and as an aging probe of the device. Finally, as a proof of concept, the emission was increased 9 and 64 times proving this structure can be effectively applied for general lighting.

Three Generation Family With Pattern Dystrophy and a Successful Treatment of Subfoveal Cnv Related to Pattern Dystrophy With Anti-vegf Intravitreal Injections

Purpose: To phenotype a large 3 generation Swiss family with pattern dystrophy and to report a successful result of treatment with ranibizumab of a subfoveal choroidal neovascularisation (CNV) associated with pattern dystrophy in 1 patient Patients and methods: 4 affected and 3 unaffected patients (3 female 4 male, age range: 19 - 80 years) were assessed with a complete ophthalmologic examination. AF images were taken using Heidelberg Retina Angiograph and the digital color photos, fluorescein angiogragraphy (FFA) using the same TOPCON 501 camera. Electroretinogram (full-field and multifocal) was performed in 1 affected patient. One 48 years old patient developed a subfoveal CNV, which was treated with 2 injections of ranibizumab, at 3 months interval. Blood sample was taken for molecular analysis (screening of the gene RDS). Results: Two patients had a typical fundoscopic appearance of pattern dystrophy with butterfly shaped deposit at the fovea and some peripheral flecks, as shown with AF imaging.. Two others affected patients had a more unusual appearance with some macular atrophy in one or both eyes, surrounded by flecks. The visual acuity ranged from 1.0 to 0.1 according to Snellen EDTRS chart. The patient with subfoveal CNV presented a drop of vision form 1.0 to 0.6 within 10 days prior to the diagnosis and also reported some metamorphopsia. FFA and optical computerized tomography (OCT) confirmed a classic CNV. After the 1st injection her vision improved to 1.0 but persistent metamorphopsia and fluid on OCT motivated a second injection. One month after the second injection the OCT was flat and the patient had no symptoms. The results of RDS screening will be presented at the meeting. Conclusion: We present a family with pattern dystrophy, with some members having an unusual fundus appearance, which was mistaken for an early onset dry AMD. The AF imaging is a useful tool in diagnosing this condition. A CNV associated with pattern dystrophy a rare. This is the first report of a successful treatment of the CNV with anti-VEGF intravitreal injections.

Heterogeneity of human monocytes: an optimized four-color flow cytometry protocol for analysis of monocyte subsets.

Monocytes are central mediators in the development of atherosclerotic plaques. They circulate in blood and eventually migrate into tissue including the vessel wall where they give rise to macrophages and dendritic cells. The existence of monocyte subsets with distinct roles in homeostasis and inflammation suggests specialization of function. These subsets are identified based on expression of the CD14 and CD16 markers. Routinely applicable protocols remain elusive, however. Here, we present an optimized four-color flow cytometry protocol for analysis of human blood monocyte subsets using a specific PE-Cy5-conjugated monoclonal antibody (mAb) to HLA-DR, a PE-Cy7-conjugated mAb to CD14, a FITC-conjugated mAb to CD16, and PE-conjugated mAbs to additional markers relevant to monocyte function. Classical CD14(+)CD16(-) monocytes (here termed "Mo1" subset) expressed high CCR2, CD36, CD64, and CD62L, but low CX(3)CR1, whereas "nonclassical" CD14(lo)CD16(+) monocytes (Mo3) essentially showed the inverse expression pattern. CD14(+)CD16(+) monocytes (Mo2) expressed high HLA-DR, CD36, and CD64. In patients with stable coronary artery disease (n = 13), classical monocytes were decreased, whereas "nonclassical" monocytes were increased 90% compared with healthy subjects with angiographically normal coronary arteries (n = 14). Classical monocytes from CAD patients expressed higher CX(3)CR1 and CCR2 than controls. Thus, stable CAD is associated with expansion of the nonclassical monocyte subset and increased expression of inflammatory markers on monocytes. Flow cytometric analysis of monocyte subsets and marker expression may provide valuable information on vascular inflammation. This may translate into the identification of monocyte subsets as selective therapeutic targets, thus avoiding adverse events associated with indiscriminate monocyte inhibition.

Ontogeny of Sleeping in Color - Linking melanism to sleep architecture and rhythmicity variation in wild barn owl nestlings

The function of sleep remains unknown. To gain insight into the function of sleep in natural conditions, I assessed variation in sleep architecture and its link with fitness-related phenotypic traits. I considered melanin-based coloration because its underlying genetic basis is very well known giving an opportunity to examine whether some genes pleiotropically regulate both coloration and sleep. The melanocortin system is known to generate covariation between melanin-based coloration and other phenotypes like behaviour, physiology and life history traits. I investigated whether this system of genes could participate in the co-expression of coloration and sleep. I carried out a study with nestling barn owls (Tyto alba) in order to tackle the potential link between variation in color traits and the ontogeny of sleep under natural conditions. For this I established a suitable method for recording the brain activity (electroencephalogram) of owls in nature. Birds are especially interesting, because they convergently evolved sleep states similar to those exhibited by mammals. As in mammals, I found that in owlets time spent in rapid eye movement (REM) sleep declines with age, a relationship thought to eflect developmental changes in the brain. Thus this developmental trajectory appears to reflect a fundamental feature of sleep. Additionally, I discovered an association between a gene involved in melanism expressed in the feather follicles (proprotein convertase subtilisin/kexin type 2, PCSK2) and the age-related changes in sleep in the brain. Nestlings with higher expression levels of PCSK2 showed a more precocial pattern of sleep development and a higher degree of melanin-based coloration compared to nestlings with lower PCSK2 expression. Also sleep architecture and the development of rhythmicity in brain and physical activity was related to plumage traits of the nestlings and their biological parents. This pattern during ontogeny might reflect differences in life l history strategies, antipredator behaviour and developmental pace. Therefore, differently colored individuals may differentially deal with trade-offs between the costs and benefits of sleep which in turn lead to differences in brain organization and ultimately fitness. These results should stimulate evolutionary biologists to consider sleep as a major life history trait. Résumé La fonction du sommeil reste inconnue. Afin d'acquérir une meilleur compréhension de la fonction du sommeil dans les conditions naturelles, j'ai analysé la variation dans l'architecture du sommeil et son lien avec d'autres traits phénotypiques liés au succès reproducteur (fitness). J'ai choisi et examiné la coloration mélanique, car ses bases génétiques sont bien connues et il est ainsi possible d'étudier si certains gènes, de façon pléiotropique régulent à la fois la coloration et le sommeil. J'ai exploré si ce système génétique était impliqué dans la co-expression de la coloration et du sommeil. J'ai effectué mon étude sur des poussins de chouette effraie (Tyto alba) en condition naturelle, pour rechercher ce lien potentiel entre la variation de la coloration et l'ontogenèse du sommeil. Dans ce but, j'ai établi une méthodologie permettant d'enregistrer l'activité cérébrale (électroencéphalogramme) des chouettes dans la nature. Les oiseaux sont particulièrement intéressants car ils ont développé, par évolution convergente, des phases de sommeil similaires à celles des mammifères. De manière semblable à ce qui a été montré chez les mammifères, j'ai découvert que le temps passé dans le sommeil paradoxal diminue avec l'âge des poussins. On pense que ceci est dû aux changements développementaux au niveau du cerveau. Cette trajectoire développementale semble refléter une caractéristique fondamentale du sommeil. J'ai également découvert une association entre l'un des gènes impliqué dans le mélanisme, exprimé dans les follicules plumeux (proprotein convertase subtilisin/kexin type 2, PCSK2), et les changements dans la structure du sommeil avec l'âge. Les poussins ayant un niveau d'expression génétique élevé de la PCSK2 présentent une structure du sommeil plus précoce et un taux de coloration dû à la mélanine plus élevé que des poussins avec un niveau d'expression moindre de la PCSK2. L'architecture du sommeil et le développement de la rythmicité dans le cerveau ainsi que l'activité physique sont également liés à la coloration des plumes des poussins et pourraient ainsi refléter des différences de stratégies d'histoire de vie, de comportements anti-prédateur et de vitesses développementales. Ainsi, des individus de coloration différente sembleraient traiter différemment les coûts et les bénéfices du sommeil, ce qui aurait des conséquences sur l'organisation cérébrale et pour finir, sur le succès reproducteur. Ces résultats devraient encourager les biologistes évolutionnistes à considérer le sommeil comme un important trait d'histoire de vie. Zusammenfassung Die Funktion von Schlaf ist noch unbekannt. Um mehr Einsicht in diese unter natürlichen Bedingungen zu bekommen, habe ich die Variation in der Schlafarchitektur und die Verknüpfung mit phänotypischen Merkmalen, die mit der Fitness zusammenhängen, studiert. Ich habe mir melanin-basierte Färbung angesehen, da die zugrunde liegende genetische Basis bekannt ist und somit die Möglichkeit gegeben ist, zu untersuchen, ob einige Gene beides regulieren, Färbung und Schlaf. Das melanocortin System generiert eine Kovariation zwischen melanin-basierter Färbung und anderen phänotypischer Merkmale wie Verhalten, Physiologie und Überlebensstrategien. Ich habe untersucht, ob dieses Gensystem an einer gleichzeitigen Steuerung von Färbung und Schlaf beteiligt ist. Dazu habe ich Schleiereulen (Tyto alba) studiert um einen möglichen Zusammenhang zwischen der Variation in der Pigmentierung und der Entwicklung des Schlafs unter natürlichen Bedingungen zu entdecken. Für diese Studie entwickelte ich eine Methode um die Gehirnaktivität (Elektroenzephalogramm) bei Eulen in der Natur aufzunehmen. Vögel sind besonders interessant, da sie die gleichen Schlafstadien aufweisen wie Säugetiere und diese unabhängig konvergent entwickelt haben. Genauso wie bei Säugetieren nahm die Dauer des sogenannten ,,rapid eye movement" (REM) - Schlafes mit zunehmendem Alter ab. Es wird angenommen, dass dieser Zusammenhang die Entwicklung des Gehirns widerspiegelt. Daher scheint dieses Entwicklungsmuster ein fundamentaler Aspekt von Schlaf zu sein. Zusätzlich entdeckte ich einen Zusammenhang zwischen der Aktivität eines Gens in den Federfollikeln (proprotein convertase subtilisin/kexin type 2, PCSK2), das für die Ausprägung schwarzer Punkte auf den Federn der Eulen verantwortlich ist, und den altersabhängigen Änderungen im Schlafmuster im Gehirn. Küken mit höherer Aktivität von PCSK2 zeigten eine frühreifere Schlafentwicklung und eine dunklere Färbung als Küken mit niedriger PCSK2 Aktivität. Die Architekture des Schlafes und die Entwicklung der Rhythmik im Gehirn und die der physischen Aktivität ist mit der Färbung des Gefieders von den Küken und ihren Eltern verknüpft. Dieses Muster während der Entwicklung kann Unterschiede in Überlebensstrategien, Feindabwehrverhalten und in der Entwicklungsgeschwindigkeit reflektieren. Unterschiedlich gefärbte Individuen könnten unterschiedliche Strategien haben um zwischen den Kosten und Nutzen von Schlaf zu entscheiden, was zu Unterschieden in der Gehirnstruktur führen kann und letztendlich zur Fitness. Diese Ergebnisse sollten Evolutionsbiologen stimulieren Schlaf als einen wichtigen Bestandteil des Lebens zu behandeln.

Keraamisten laattojen luokittelu väripiirteiden avulla

Vaikka keraamisten laattojen valmistusprosessi onkin täysin automatisoitu, viimeinen vaihe eli laaduntarkistus ja luokittelu tehdään yleensä ihmisvoimin. Automaattinen laaduntarkastus laattojen valmistuksessa voidaan perustella taloudellisuus- ja turvallisuusnäkökohtien avulla. Tämän työn tarkoituksena on kuvata tutkimusprojektia keraamisten laattojen luokittelusta erilaisten väripiirteiden avulla. Oleellisena osana tutkittiin RGB- ja spektrikuvien välistä eroa. Työn teoreettinen osuus käy läpi aiemmin aiheesta tehdyn tutkimuksen sekä antaa taustatietoa konenäöstä, hahmontunnistuksesta, luokittelijoista sekä väriteoriasta. Käytännön osan aineistona oli 25 keraamista laattaa, jotka olivat viidestä eri luokasta. Luokittelussa käytettiin apuna k:n lähimmän naapurin (k-NN) luokittelijaa sekä itseorganisoituvaa karttaa (SOM). Saatuja tuloksia verrattiin myös ihmisten tekemään luokitteluun. Neuraalilaskenta huomattiin tärkeäksi työkaluksi spektrianalyysissä. SOM:n ja spektraalisten piirteiden avulla saadut tulokset olivat lupaavia ja ainoastaan kromatisoidut RGB-piirteet olivat luokittelussa parempia kuin nämä.

Color ad spectral image assessment using novel quality and fidelity techniques

The ongoing development of the digital media has brought a new set of challenges with it. As images containing more than three wavelength bands, often called spectral images, are becoming a more integral part of everyday life, problems in the quality of the RGB reproduction from the spectral images have turned into an important area of research. The notion of image quality is often thought to comprise two distinctive areas – image quality itself and image fidelity, both dealing with similar questions, image quality being the degree of excellence of the image, and image fidelity the measure of the match of the image under study to the original. In this thesis, both image fidelity and image quality are considered, with an emphasis on the influence of color and spectral image features on both. There are very few works dedicated to the quality and fidelity of spectral images. Several novel image fidelity measures were developed in this study, which include kernel similarity measures and 3D-SSIM (structural similarity index). The kernel measures incorporate the polynomial, Gaussian radial basis function (RBF) and sigmoid kernels. The 3D-SSIM is an extension of a traditional gray-scale SSIM measure developed to incorporate spectral data. The novel image quality model presented in this study is based on the assumption that the statistical parameters of the spectra of an image influence the overall appearance. The spectral image quality model comprises three parameters of quality: colorfulness, vividness and naturalness. The quality prediction is done by modeling the preference function expressed in JNDs (just noticeable difference). Both image fidelity measures and the image quality model have proven to be effective in the respective experiments.

Real-time Image-based RGB-D Camera Motion Tracking and Environment Mapping

In this work, image based estimation methods, also known as direct methods, are studied which avoid feature extraction and matching completely. Cost functions use raw pixels as measurements and the goal is to produce precise 3D pose and structure estimates. The cost functions presented minimize the sensor error, because measurements are not transformed or modified. In photometric camera pose estimation, 3D rotation and translation parameters are estimated by minimizing a sequence of image based cost functions, which are non-linear due to perspective projection and lens distortion. In image based structure refinement, on the other hand, 3D structure is refined using a number of additional views and an image based cost metric. Image based estimation methods are particularly useful in conditions where the Lambertian assumption holds, and the 3D points have constant color despite viewing angle. The goal is to improve image based estimation methods, and to produce computationally efficient methods which can be accomodated into real-time applications. The developed image-based 3D pose and structure estimation methods are finally demonstrated in practise in indoor 3D reconstruction use, and in a live augmented reality application.

Probabilistic position and orientation estimation of rigid objects using an RGB-D sensor

The recent emergence of low-cost RGB-D sensors has brought new opportunities for robotics by providing affordable devices that can provide synchronized images with both color and depth information. In this thesis, recent work on pose estimation utilizing RGBD sensors is reviewed. Also, a pose recognition system for rigid objects using RGB-D data is implemented. The implementation uses half-edge primitives extracted from the RGB-D images for pose estimation. The system is based on the probabilistic object representation framework by Detry et al., which utilizes Nonparametric Belief Propagation for pose inference. Experiments are performed on household objects to evaluate the performance and robustness of the system.

Ripening pattern of guava cv. Pedro Sato

Guava is a fruit with high respiration rates and a very short shelf life. Since information on its respiration pattern is contradictory, the objective was to study the changes occurring in the fruit during ripening and to relate them to the respiration behavior of this fruit. Guavas were picked at the half-ripe stage and stored for 8 days at 22 ± 1 ºC and 78 ± 1% relative humidity. The analyses conducted were: peel and pulp coloration, firmness, total soluble solids (TSS), total titratable acidity (TTA), and ethylene production. According to the results, it was verified that the parameters analyzed apparently do not coincide and are ethylene-independent. There was an accentuated ethylene production during ripening, starting from the 4th day. The ethylene synthesis continued increasing up to the 8th day, when the fruits were already decomposing. It was observed that the firmness decreased sharply in the first three days of ripening, and the skin and pulp color changed during ripening. The TSS, total soluble solids, and the TTA, total titratable acidity, practically did not change during the ripening, even with the increased ethylene production. It can be concluded that guava is a fruit that presents characteristics of climacteric and non-climacteric fruits.

Optimization algorithms in FMRF model-based segmentation for LIDAR data and co-registered bands

In this paper, a fuzzy Markov random field (FMRF) model is used to segment land-objects into free, grass, building, and road regions by fusing remotely, sensed LIDAR data and co-registered color bands, i.e. scanned aerial color (RGB) photo and near infra-red (NIR) photo. An FMRF model is defined as a Markov random field (MRF) model in a fuzzy domain. Three optimization algorithms in the FMRF model, i.e. Lagrange multiplier (LM), iterated conditional mode (ICM), and simulated annealing (SA), are compared with respect to the computational cost and segmentation accuracy. The results have shown that the FMRF model-based ICM algorithm balances the computational cost and segmentation accuracy in land-cover segmentation from LIDAR data and co-registered bands.

ReadingAct RGB-D action dataset and human action recognition from local features

For general home monitoring, a system should automatically interpret people’s actions. The system should be non-intrusive, and able to deal with a cluttered background, and loose clothes. An approach based on spatio-temporal local features and a Bag-of-Words (BoW) model is proposed for single-person action recognition from combined intensity and depth images. To restore the temporal structure lost in the traditional BoW method, a dynamic time alignment technique with temporal binning is applied in this work, which has not been previously implemented in the literature for human action recognition on depth imagery. A novel human action dataset with depth data has been created using two Microsoft Kinect sensors. The ReadingAct dataset contains 20 subjects and 19 actions for a total of 2340 videos. To investigate the effect of using depth images and the proposed method, testing was conducted on three depth datasets, and the proposed method was compared to traditional Bag-of-Words methods. Results showed that the proposed method improves recognition accuracy when adding depth to the conventional intensity data, and has advantages when dealing with long actions.

Exploring combinations of different color and facial expression stimuli for gaze-independent BCIs

Background: Some studies have proven that a conventional visual brain computer interface (BCI) based on overt attention cannot be used effectively when eye movement control is not possible. To solve this problem, a novel visual-based BCI system based on covert attention and feature attention has been proposed and was called the gaze-independent BCI. Color and shape difference between stimuli and backgrounds have generally been used in examples of gaze-independent BCIs. Recently, a new paradigm based on facial expression changes has been presented, and obtained high performance. However, some facial expressions were so similar that users couldn't tell them apart, especially when they were presented at the same position in a rapid serial visual presentation (RSVP) paradigm. Consequently, the performance of the BCI is reduced. New Method: In this paper, we combined facial expressions and colors to optimize the stimuli presentation in the gaze-independent BCI. This optimized paradigm was called the colored dummy face pattern. It is suggested that different colors and facial expressions could help users to locate the target and evoke larger event-related potentials (ERPs). In order to evaluate the performance of this new paradigm, two other paradigms were presented, called the gray dummy face pattern and the colored ball pattern. Comparison with Existing Method(s): The key point that determined the value of the colored dummy faces stimuli in BCI systems was whether the dummy face stimuli could obtain higher performance than gray faces or colored balls stimuli. Ten healthy participants (seven male, aged 21–26 years, mean 24.5 ± 1.25) participated in our experiment. Online and offline results of four different paradigms were obtained and comparatively analyzed. Results: The results showed that the colored dummy face pattern could evoke higher P300 and N400 ERP amplitudes, compared with the gray dummy face pattern and the colored ball pattern. Online results showed that the colored dummy face pattern had a significant advantage in terms of classification accuracy (p < 0.05) and information transfer rate (p < 0.05) compared to the other two patterns. Conclusions: The stimuli used in the colored dummy face paradigm combined color and facial expressions. This had a significant advantage in terms of the evoked P300 and N400 amplitudes and resulted in high classification accuracies and information transfer rates. It was compared with colored ball and gray dummy face stimuli.