Real-time,deep-learning aided lensless microscope

Traditional miniaturized fluorescence microscopes are critical tools for modern biology. Invariably, they struggle to simultaneously image with a high spatial resolution and a large field of view (FOV). Lensless microscopes offer a solution to this limitation. However, real-time visualization of samples is not possible with lensless imaging, as image reconstruction can take minutes to complete. This poses a challenge for usability, as real-time visualization is a crucial feature that assists users in identifying and locating the imaging target. The issue is particularly pronounced in lensless microscopes that operate at close imaging distances. Imaging at close distances requires shift-varying deconvolution to account for the variation of the point spread function (PSF) across the FOV. Here, we present a lensless microscope that achieves real-time image reconstruction by eliminating the use of an iterative reconstruction algorithm. The neural network-based reconstruction method we show here, achieves more than 10000 times increase in reconstruction speed compared to iterative reconstruction. The increased reconstruction speed allows us to visualize the results of our lensless microscope at more than 25 frames per second (fps), while achieving better than 7 µm resolution over a FOV of 10 mm². This ability to reconstruct and visualize samples in real-time empowers a more user-friendly interaction with lensless microscopes. The users are able to use these microscopes much like they currently do with conventional microscopes.     

Stenotrophomonas isolates in a tertiary care centre in South India

PurposeStenotrophomonas maltophilia is an emerging multi-drug resistant pathogen increasingly isolated in India. This study aimed to identify patients from whom Stenotrophomonas maltophilia had been isolated and assess predictors of mortality in this population.MethodsThis was a retrospective cohort study of hospitalized patients with a positive culture for S. maltophilia over a 3-year period. Clinical details and laboratory results were assessed from hospital records. Bivariate and multivariate analysis was used to identify risk factors for mortality.ResultsOne hundred and nineteen patients (mean age 48.6 years) were included in the study. Of these, 111 patients were hospitalized for at least 48 ?hours prior to culture and 98 were admitted in the intensive care unit. Bivariate analysis revealed multiple associations with mortality, including a background of renal, cardiac, autoimmune disease, recent carbapenam use and COVID-19 infection and increasing ventilatory requirement, lower PaO₂/FiO₂ (P/F) ratio, vasopressor use, thrombocytopenia, and hypoalbuminemia at the time of positive isolate. Multivariate analysis showed that autoimmune disease [OR 27.38; 95% CI (1.39–540)], a P/F ratio of less than 300 [OR 7.58; 95% CI (1.52–37.9)], vasopressor requirement [OR 39.50; 95% CI (5.49–284)] and thrombocytopenia [OR 11.5; 95% CI (2.04–65.0)] were statistically significantly associated with increased mortality, while recent surgery and receipt of antibiotics [OR 0.16; 95% CI (0.03–0.8)] targeted against S. maltophilia were associated with decreased mortality.ConclusionStenotrophomonas maltophilia is primarily isolated in patients in the intensive care unit. In our study the need for vasopressors, autoimmune disease, lower P/F ratios and thrombocytopenia were associated with higher mortality. The association of targeted antibiotics with reduced mortality suggests that the pathogenic role of S. maltophilia should not be underestimated. This finding needs to be confirmed with larger, prospective studies.     

Tinospora cordifolia attenuates oxidative stress and distorted carbohydrate metabolism in experimentally induced type 2 diabetes in rats

Diabetes is a chronic metabolic disorder affecting a vast number of people worldwide. Oxidative stress is the causative agent amplifying diabetic complications in various organs by generating noxious amount of free radicals. A huge interest always exists in exploring nutraceuticals from plant materials to replace synthetic drugs in order to overcome their adverse effects and also for economic reasons. The anti-diabetic efficiency of a medicinal plant, Tinospora cordifolia (TC) was studied in experimentally induced type 2 diabetes in Sprague-Dawley rats. Diabetes was induced by a combination of high fat diet (HFD) for a period of 10 weeks followed by intraperitoneal injection of streptozotocin (STZ, 35 mg/kg of body weight). Oral treatment of TC (100 and 200 mg/kg body weight) for 14 days regulated blood glucose, provoked insulin secretion and also suppressed oxidative stress marker, thiobarbituric acid reactive substances (TBARS), formation and restored cellular defence anti-oxidant markers including superoxide dismutase (SOD), glutathione peroxidase (GPx) and glutathione (GSH), in liver. Treatment with TC (100 and 200 mg/kg) also inhibited glucose 6-phosphatase and fructose 1,6-diphosphatase (p < 0.001); and restored glycogen content in liver (p < 0.005), which was also studied by histopathological staining with periodic acid-Schiff stain. In conclusion, the traditional plant Tinospora cordifolia mediates its anti-diabetic potential through mitigating oxidative stress, promoting insulin secretion and also by inhibiting gluconeogenesis and glycogenolysis, thereby regulating blood glucose.     

Imaging through plasmonic nanoparticles

The optical properties of metallic nanoparticles with plasmon resonances have been studied extensively, typically by measuring the transmission of light, as a function of wavelength, through a nanoparticle suspension. One question that has not yet been addressed, however, is how an image is transmitted through such a suspension of absorber-scatterers, in other words, how the various spatial frequencies are attenuated as they pass through the nanoparticle host medium. Here, we examine how the optical properties of a suspension of plasmonic nanoparticles affect the transmitted image. We use two distinct ways to assess transmitted image quality: the structural similarity index (SSIM), a perceptual distortion metric based on the human visual system, and the modulation transfer function (MTF), which assesses the resolvable spatial frequencies. We show that perceived image quality, as well as spatial resolution, are both dependent on the scattering and absorption cross-sections of the constituent nanoparticles. Surprisingly, we observe a nonlinear dependence of image quality on optical density by varying optical path length and nanoparticle concentration. This work is a first step toward understanding the requirements for visualizing and resolving objects through media consisting of subwavelength absorber-scatterer structures, an approach that should also prove useful in the assessment of metamaterial or metasurface-based optical imaging systems.Our understanding of light scattering in complex media is built almost exclusively on the interaction of light with broadband low-loss scatterers, characteristic of many natural systems such as animal tissue, fog, or sea spray (1–6). In contrast, metallic nanoparticles possess plasmon resonances with strongly frequency-dependent absorption and scattering cross-sections, where the resonant frequency is controlled by nanoparticle size, shape, and local dielectric environment (7–9). This characteristic enables the predictive design and fabrication of nanoparticles and nanoparticle-based media with specific absorption and scattering properties at precise wavelengths of choice throughout the UV, visible, and infrared regions of the spectrum (10–16). Since their use in antiquity as the vivid colorants in stained glass windows, this frequency dependence has been of primary interest. In the context of modern optics, plasmon-resonant lineshapes are studied extensively through spectroscopic measurements. However, the problem of resolving an image through a suspension of plasmonic nanoparticles, for example, dispersed in an otherwise transparent solid or liquid medium, or patterned onto a transparent substrate, has yet to be investigated. Here, we examine how the properties of plasmonic nanoparticles in dilute suspension modify a transmitted image. To do so, we use two very different strategies. First, we determine the Structural SIMilarity index (SSIM) of the plasmonic medium-transmitted image relative to the original image (17). This technique allows us to evaluate how an image is distorted upon transmission by applying a quantitative metric related directly to human visual perception. Second, we consider the plasmonic nanoparticle medium as if it were an optical component and evaluate the medium’s modulation transfer function (MTF) (18). This approach provides quantitative information concerning how various spatial frequencies in an image are attenuated by transmission through the nanoparticle-based medium. These two approaches provide insight toward understanding how our ability to perceive and resolve an image transmitted through a nanoparticle-based medium is dependent upon the specific properties of the nanoparticles themselves in addition to the spatial frequencies of the image.The problem under investigation is illustrated schematically in Fig. 1. A medium consisting of suspended plasmonic nanoparticles is placed between an object and the image plane of an observer, or, alternatively, an imaging system. The extinction spectrum of the plasmonic medium alone provides valuable but incomplete information concerning the quality of the transmitted image. The spectrum does not provide the specific wavelength-dependent scattering and absorption properties of the nanoparticles, nor does it account for the fact that different spatial frequencies in an image are differentially transmitted or attenuated while passing through the medium.Open in a separate windowFig. 1.Imaging through a medium of plasmonic nanoparticles. An image of the object (Left), under white light illumination, is transmitted through a suspension of nanoparticles with a wavelength-dependent extinction spectrum. In this case, the suspension has a transmission maximum at green wavelength (G) and transmission minima at blue (B) and red (R) wavelengths. Here, we examine how the observer perceives the transmitted image in these different wavelength regions and how the absorption and scattering properties of the nanoparticles affect the perceived image.Qualitatively, in wavelength regions where the extinction is low, we would expect the transmitted image to be more easily visible than for wavelength regions of higher extinction. This extinction will be vastly different for different spatial frequencies—higher spatial frequencies will invariably be attenuated far more than lower spatial frequencies. To quantitatively assess the correlation between image visibility and nanoparticle optical properties, we acquired transmitted images at discrete wavelengths across the visible spectrum. We then analyzed these images using computational image-processing tools to correlate nanoparticle optical properties with human-eye image perception quantitatively.The experiment consisted of a bright field Kӧhler illumination setup for imaging an object through plasmonic nanoparticle suspensions (details shown in SI Appendix, Fig. 1). A fiber optic white light illumination source (MI-150; Edmund Optics) with a series of wavelength-selective bandpass filters (FWHM, ±10 nm; FB series; Thorlabs) spanning the wavelength range of 450–900 nm were used. For imaging, a CCD camera (PIXIS 400; Princeton Instruments) sensitive in the 400 to 1,100 nm wavelength range was used. The object was a 1951 US Air Force (USAF) resolution target conforming to the military standard (MIL-STD-150A) (SI Appendix, Fig. 2). Nanoparticle suspension in a quartz cuvette was placed directly in front of the camera so that the suspension influenced only the target image and not the illumination source.A suspension of plasmonic nanoparticles was designed and prepared with spectrally distinct transmission maxima and minima (Fig. 2). The suspension consisted of a mixture of Au nanorods of two different sizes and aspect ratios corresponding to two spectrally distinct dipolar plasmon modes (Fig. 2A). One type of Au nanorods were 20 nm × 45 nm in size with a dipolar resonance wavelength of 637 nm (Fig. 2B). The second type of Au nanorods were 30 nm × 120 nm in size with a dipolar resonance wavelength of 877 nm (Fig. 2C). Finite-difference time domain (FDTD) calculations of Au nanorods with these dimensions indicate that absorption dominates the cross-section of the smaller nanorods (Fig. 2D), whereas for the larger nanorods, scattering and absorption contribute equally (Fig. 2E). Mixing the nanorod solutions results in an extinction minimum at 770 nm and two maxima at 637 and 877 nm, which frame the transmission window. Normalized monochromatic images of a set of vertical bars [12.7 line pairs/mm (lp/mm)] on the USAF resolution target were obtained after transmission through the mixed-nanorod suspension (Fig. 3). The extinction spectrum of the suspension and the specific illumination wavelengths used for imaging, which ranged from 450 to 900 nm at 50 nm wavelength intervals, are shown (Fig. 3A). The image is transmitted clearly within the transmission window near 750 nm and becomes increasingly distorted for illumination wavelengths detuned from the 750 nm transmission window (Fig. 3B). Imaging through the aqueous solution (Fig. 3C) shows that the observed image distortion is attributable to transmission through the mixed nanoparticle suspension. To quantitatively analyze and assess the quality of the transmitted image, we apply a quality metric known as the SSIM. Unlike traditional methods for evaluating image quality, such as mean squared error (MSE) or peak signal-to-noise ratio (PSNR) (SI Appendix, Fig. 3), SSIM is not biased toward oversmoothed or blurry results but has been proven to be consistent with human visual perception (19). The human visual system is highly adaptive for extracting structural information from a scene: this is taken into account in the definition of the SSIM metric [computational details are given in the SI Appendix, and we refer the reader to the original publication (17) for details regarding the SSIM metric]. In practice, an SSIM of 0 indicates no similarity between the transmitted and the original image, and an SSIM of 1 indicates no detectable difference between the original and the transmitted image. Additionally, multiscale (MS)-SSIM (20) can be calculated to take into account image details, such as the sampling density of the image signal, the distance from the image plane to the observer, and the perceptual capability of the observer’s visual system at different resolutions (more details are provided in the SI Appendix).Open in a separate windowFig. 2.Mixture of two nanorod solutions for imaging through a complex resonant medium. (A) Measured extinction spectrum of the mixture of 20 nm × 45 nm and 30 nm × 120 nm Au nanorod solutions. (B) Measured extinction spectrum of 20 nm × 45 nm nanorod solution. (B, Inset) TEM image. (C) Measured extinction spectrum of 30 nm × 120 nm Au nanorod solution. (C, Inset) TEM image. (D) Calculated absorption (blue), scattering (red), and extinction (black) cross-sections (in H₂O) of a 45 nm × 20 nm Au nanorod. (E) A 30 nm × 120 nm Au nanorod.Open in a separate windowFig. 3.SSIM quality metric for images obtained through nanoparticle solution. (A) Normalized extinction spectrum of nanorod-mixture suspension, indicating wavelengths of transmitted images. (B) Normalized images of one set of vertical bars in the USAF resolution target obtained through the nanorod suspension from 450 to 900 nm wavelengths at 50 nm wavelength intervals. (C) USAF target images obtained through H₂O. (D) Calculated SSIM and MS-SSIM for the series of images shown in B.For the transmitted images displayed in Fig. 3B and using the images shown in Fig. 3C as the original images, we calculated the SSIM (red) and MS-SSIM (blue) values for each transmitted image, as shown in Fig. 3D. We can see that these values correlate well with the quality of the images as perceived by the human eye. The SSIM and MS-SSIM follow the transmission spectrum of the solution to some extent. MS-SSIM shows a slightly more uniform spectral distribution compared with SSIM. However, both deviate from the spectrum at certain wavelengths. For example, even though the extinction maxima near 650 and 850 nm have comparable optical densities, the image obtained at 850 nm wavelength (with SSIM 0.094 and MS-SSIM 0) has substantially greater image distortion than the image obtained at 650 nm wavelength (with SSIM 0.285 and MS-SSIM 0.131). The difference between the change in image distortion at 650 and 850 nm can be attributed to the difference in the ratio of scattering to absorption cross-sections for the two nanorod sizes in the mixed-nanorod suspension: for the 20 nm × 45 nm nanorods, this ratio is 0.11, and for the 30 nm × 120 nm nanorods, this ratio is 1.04.Because the smaller nanorods with their dipolar plasmon near 650 nm scatter less light than those with their resonance near 850 nm and because absorbed light merely reduces the brightness of the image and not the contrast, there is less perceived image distortion at the 650 nm illumination wavelength. Conversely, the larger nanorods with their dipolar resonance near 850 nm have a larger relative scattering cross-section, which distorts the image, because scattering results in redirected photons that, although detectable, have lost information regarding the object, resulting in a distorted image. This result indicates that the absorption and scattering properties of the constituent nanoparticles of a plasmonic medium directly affect the quality of a transmitted image.Another method to assess the quality of an image transmitted through a plasmonic medium is to consider the medium to be an additional component of the imaging system and determine the MTF of that component (Fig. 4). The MTF describes the maximum resolution of an imaging system as a function of transmittable spatial frequencies (lp/mm), indicating the minimum-sized feature of an object resolvable in a transmitted image (18, 21) (details are provided in the SI Appendix). MTF is also a normalized metric, whose amplitudes range from 0 to 1, where 0.05 is the threshold for resolvability for average human observers (22). To determine the MTF of the mixed-nanorod suspension, we imaged a specific portion (17.96 to 228.1 lp/mm) of the USAF resolution target through the suspension. Normalized images through the mixed-nanorod suspension, along with images transmitted through an aqueous medium as a control, at the wavelength of maximum transmission (750 nm) and at the two resonance peaks (650 and 850 nm) are shown in Fig. 4A. The MTF from each transmitted image is shown in Fig. 4 B–D. At 750 nm, the MTF through the mixed-nanorod suspension is almost equal to the MTF through H₂O. However, at the resonance peaks (650 and 850 nm), the MTF through the mixed-nanorod suspensions is substantially reduced (Fig. 4 B and D). Although the optical density of the mixture is similar at both resonance peaks, the absorption and scattering cross-sections are substantially different. The MTF determined at 850 nm, where scattering is more dominant, is reduced more than the MTF at 650 nm. The MTF cutoff for the average human visual system, 0.05, is shown by the black dashed lines in Fig. 4 B–D. In Fig. 4E, we see that at the transmission maximum, the cutoff spatial frequency is the same for the mixed-nanorod suspension as it is in H₂O, meaning that the maximum resolvable spatial frequency through the nanoparticle suspension is unaltered at this wavelength. The cutoff resolution is much lower at the longer wavelength resonance, where scattering is stronger (850 nm), than for the shorter wavelength, predominantly absorptive resonance (650 nm). This finding clearly indicates that scattering, rather than absorption, is the dominant light interaction mechanism that limits the size of the smallest resolvable feature when imaging through plasmonic media.Open in a separate windowFig. 4.MTFs of the imaging system with the mixed-nanorod suspension included. (A, Top) Extinction spectrum of mixed-nanorod suspension, where the 650 nm (blue), 750 nm (green), and 850 nm (red) illumination wavelengths are shown. (A, Middle and Bottom) Normalized images of 17.96 to 228.1 lp/mm in the USAF resolution target through mixed-nanorod suspension, with 2.5-mm optical path length (Middle) and through H₂O as a control (Bottom). (B–D) MTF of the imaging system with H₂O and mixture of 20 nm × 45 nm and 30 nm × 120 nm at 650 nm (B), 750 nm (C), and 850 nm (D) wavelengths. The cutoff MTF of 0.05 is shown by the black dashed line in each figure. Dotted portions of the MTF curves, required to determine the cutoff spatial frequency, are linearly interpolated data. (E) Cutoff spatial frequencies through H₂O and the mixed-nanorod suspension, for the three frequencies of interest.The total optical density of a plasmonic nanoparticle suspension also affects the quality of the transmitted image. One can vary the optical density of a plasmonic nanoparticle suspension by varying either the optical path length or the concentration of nanoparticles in suspension. First, we varied the optical path length of the nanorod-mixture suspension through which objects were imaged (Fig. 5). The normalized images of 17.96–228.1 lp/mm in the USAF resolution target that were obtained for optical path lengths of 10, 5, and 2.5 mm (Fig. 5A, Lower, top three rows) and through H₂O (Fig. 5A, Lower, bottom row) are shown in Fig. 5. The SSIM and cutoff spatial frequencies across the spectrum as a function of optical path length are shown in Fig. 5 B and C. As optical path length is increased from 2.5 to 5 mm, high image quality as well as spatial resolution persist within a broad spectral window centered at the wavelength of maximal transmission. As we increase optical path length further (from 5 to 10 mm), image quality and maximum spatial resolution drop off dramatically. This result likely indicates a threshold optical density where optical densities larger than this value will distort all images beyond recognition and below this value, there will be minimal image distortion.Open in a separate windowFig. 5.Variation of image quality with optical path length through nanoparticle suspensions. (A) Normalized extinction spectra of nanorod-mixture window (2.5-mm optical path length) (Upper) along with normalized images of 17.96–228.1 lp/mm in the USAF resolution target through nanorod-mixture suspensions with optical path lengths of 2.5, 5, and 10 mm (Lower, top three rows) and through H₂O (Lower, bottom row) shown from 450 to 900 nm wavelengths with a 50 nm wavelength interval. (B and C) Calculated SSIM (B) and cutoff spatial frequency (C) for the same images obtained through nanorod-mixture suspension for three different optical path lengths (2.5, 5, and 10 mm).To further examine this imaging threshold, we determined the SSIM obtained through two different suspensions of individual nanoparticles, this time changing optical density by varying the concentration of nanoparticles in each suspension. We chose 100 nm diameter Au nanospheres and 20 nm × 45 nm Au nanorods for this study, because they both have similar extinction maxima within the same 600 to 650 nm wavelength window but possess different absorption and scattering properties (SI Appendix, Fig. 4). Specifically, the ratio of scattering and absorption cross-sections for the nanosphere solution is 40 times larger than the nanorod solution at the 600 nm imaging wavelength. We varied the optical densities of these two plasmonic nanoparticle solutions by varying their concentrations (SI Appendix, Fig. 5). The concentration of 100 nm diameter Au nanosphere solutions was varied from 1.9 × 10⁹ to 2.6 × 10¹⁰ particles/cm³ and for the 20 nm × 45 nm Au nanorod solutions, the concentration was varied from 7.7 × 10¹⁰ to 4.6 × 10¹¹ particles/cm³. We performed imaging at 600 nm wavelength, avoiding the interband transition of gold at 520 nm wavelength (23). We calculated the SSIMs for the images obtained through these nanorod and nanosphere solutions at different concentrations, which are plotted against the corresponding optical densities in Fig. 6. The imaging threshold observable in Fig. 5 can also be observed here as a nonlinear dependence of the SSIM on the optical density of the solution. Below a threshold optical density (<1.5), the image transmits clearly through the nanoparticle solutions with minimum distortion, regardless of the absorption or scattering properties of the plasmonic nanoparticles. However, above a threshold optical density (shown by the gray area in Fig. 6), there is a rapid decrease in image quality, according to the SSIM metric. Additionally, the threshold optical densities, or concentrations, are different for the two nanoparticle solutions. The SSIM drops below 0.2 at a concentration of 1.3 × 10¹⁰ particles/cm³ (optical density 2.3) for the nanosphere solution with larger scattering cross-sections and at a concentration of 2.7 × 10¹¹ particles/cm³ (optical density 2.8) for the nanorod solution, which is more absorbing. Although the value of the threshold optical density is also dependent upon the specifics of the imaging system, this threshold behavior should be generally observable in any imaging system.Open in a separate windowFig. 6.Variation of image quality with optical density of nanoparticle suspensions as a function of nanoparticle concentration. Measured SSIM for USAF target images obtained through suspensions of 100 nm diameter Au nanospheres and 20 nm × 45 nm Au nanorods at a 600 nm illumination wavelength as a function of optical density.Our quantitative study on the influence of plasmonic nanoparticles on the visual quality of images transmitted passing through such nanoparticle-laden media may open a new area of research to use engineered plasmonic nanoparticles not only for reshaping the light spectrum but also to selectively preserve or distort a transmitted image for visual or machine detection. Among various image quality metrics, SSIM provides realistic information regarding the clarity or distortion of an image when transmitted through plasmonic nanoparticles that is directly related to human perception. On the other hand, MTF evaluates the performance of plasmonic nanoparticles by considering them as a part of the imaging system and provides the maximum spatial resolution visible through the particular plasmonic nanoparticle-based medium. We showed that for equal extinction values, plasmonic nanoparticles with higher scattering cross-sections more effectively distort transmitted images compared with nanoparticles with more predominant absorption cross-sections. Furthermore, we showed that image distortion and optical density of the nanoparticle solution have a strongly nonlinear relation, where below a threshold optical density, there is virtually no image distortion, whereas above this threshold, the image distortion drops dramatically with increasing optical density. We believe that this initial study will facilitate the assessment of image visualization through other types of media composed of subwavelength nanostructures with light-scattering properties, such as metasurface lenses (24, 25), which can be combined into flat optics-based imaging systems.     

Pulmonary veno-occlusive disease.

Pulmonary veno-occlusive disease (PVOD) is a rare cause of pulmonary hypertension that mainly affects children and young adults. Its cause is unknown, although viral infections and drugs have been implicated. Patients with PVOD present with symptoms of right-sided heart failure. Radiologic examination shows prominent pulmonary arteries with Kerley B lines, pleural effusion, and mediastinal adenopathy. The definite diagnosis is made by histologic examination. Eccentric intimal fibrosis and recanalized thrombi in pulmonary veins and venules, arterialized veins, alveolar edema, and medial hypertrophy of arteries are seen on lung biopsy. No effective treatment is available; lung transplantation has been tried. The prognosis associated with PVOD is poor.     

Clinical evaluation of an all-ceramic restorative system: 24-month report

PURPOSE: To clinically evaluate an all-ceramic restorative system (Finesse All-Ceramic) when used in conjunction with an ultra-low fusing porcelain (Finesse) using bonded esthetic resin cements (Enforce & Calibra). METHODS: 40 posterior and anterior crowns, 20 all-ceramic inlays and onlays, and 26 veneers were placed in 43 patients. Standard ceramic preparations were performed followed by conventional polyvinylsiloxane (Aquasil) impression techniques using cord retraction. The bonded resin cement was used to place the restorations following manufacturer's instructions. A majority of restorations (95-100%) were evaluated to be optimal at baseline (B), 6, 12, and 24 months using a modified Ryge criteria for the following categories: color match, marginal adaptation, porcelain staining, secondary caries, postoperative sensitivity, and retention. RESULTS: There were sufficient shades available to obtain desired esthetic result with 98% of all restorations being rated Alfa for shade match to Vita Lumin shade guide. The overall 2-year success rate (inlay/onlays, crowns, and veneers) was 98.75%.     

Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search

In this work, we present a faceted-search based approach for visualization of anatomy by combining a three dimensional digital atlas with an anatomy ontology. Specifically, our approach provides a drill-down search interface that exposes the relevant pieces of information (obtained by searching the ontology) for a user query. Hence, the user can produce visualizations starting with minimally specified queries. Furthermore, by automatically translating the user queries into the controlled terminology our approach eliminates the need for the user to use controlled terminology. We demonstrate the scalability of our approach using an abdominal atlas and the same ontology. We implemented our visualization tool on the opensource 3D Slicer software. We present results of our visualization approach by combining a modified Foundational Model of Anatomy (FMA) ontology with the Surgical Planning Laboratory (SPL) Brain 3D digital atlas, and geometric models specific to patients computed using the SPL brain tumor dataset.