"Ecce Homo" by Antonello da Messina, from non-invasive investigations to data fusion and dissemination.

Scientific investigations of artworks are crucial in terms of preservation since they provide a measurable evaluation of the materials and the state of conservation. This is the case of Antonello da Messina's painting "Ecce Homo": its delicate state of conservation, with the need for constant monitoring, required a broad and in-depth diagnostic campaign to support the restorers. The project was carried out entirely in situ using non-invasive cutting-edge techniques and proposes a multimodal and data-centric approach, integrating 3D and 2D methodologies. The surface irregularities and the support were analysed with a structured-light 3D scanner and X-ray tomography. The painting materials were investigated with X-ray fluorescence scanning (MA-XRF) and reflectance hyperspectral imaging (HSI). Primarily, the data were jointly used for a scientific scope and provided new knowledge of the painting in terms of materials and painting techniques. In addition, two web-based interactive platforms were developed: one to provide restorers and experts with a new perspective of the hidden geometries of the painting, and the other targeted at the general public for dissemination purposes. The results of the Ecce Homo scientific analysis were exhibited, using a touch-screen interface, and developed for different user levels, from adults to kids.

Is Kelami's Method Still Useful in the Smartphone Era? The Virtual 3-Dimensional Reconstruction of Penile Curvature in Patients With Peyronie's Disease: A Pilot Study.

BACKGROUND: Peyronie's disease is an idiopathic fibrotic disease affecting the penile tunica albuginea. Among other resulting deformities, the more common penile curvature should be assessed preferentially with in-office goniometric estimation after pharmacologically induced erection, although clearly invasive and uncomfortable. AIM: In the present pilot study, we investigated the usefulness for the patient and the surgeon of a 3-dimensional (3D) reconstruction of the penile curvature obtained through photogrammetry software in clinical evaluation and surgical planning. METHODS: Enrolled patients received alprostadil 10 µg by intracavernous injection. Then, the medical personnel took a sequence of up to 50 photographs in orthostatism via a smartphone and processed them to obtain a 3D model of the whole groin area with 3DF Zephyr free software (3Dflow SRL, Verona, Italy), to take measurements of the penile curvature with MeshLab software (National Research Council of Italy, Rome, Italy) and to simulate the results after corporoplasty with Blender software (Blender Foundation, Amsterdam, the Netherlands). Finally, we submitted a 1-5 Likert scale to patients and surgeons investigating their satisfaction with the use of the 3D model during preoperative counseling, surgical planning, and the esthetic results after surgery. OUTCOMES: We investigated the patient and surgeon satisfaction with the use of the 3D model in understanding/evaluating the pathology and the surgical planning during the preoperative visit and the satisfaction with the final esthetic results in relation to the preoperative model itself. RESULTS: 4 patients were included. The median photographs acquisition and computer processing time were 39 seconds and 347.5 minutes, respectively. All the patients and surgeons involved gave a score of ≥4 to all the items investigated. CLINICAL IMPLICATIONS: The 3D model of the penile curvature is very useful both to the patient and the surgeon to understand the severity of the disease and the possible surgical management. STRENGTH & LIMITATIONS: This is a pilot study including only 4 cases, but it is the first experience in which the patients with Peyronie's disease had the possibility to see a virtual 3D model of their penile curvature and final esthetic results after corporoplasty, based on 3 freely available computer applications. CONCLUSION: Our pilot study has shown that it is possible to quickly obtain a sequence of photographs to create an accurate virtual 3D model of the penis of patients with Peyronie's disease, helping the patients and the surgeon during preoperative counseling and surgical planning. Pavone C, Abrate A, Altomare S, et al. Is Kelami's Method Still Useful in the Smartphone Era? The Virtual 3-Dimensional Reconstruction of Penile Curvature in Patients With Peyronie's Disease: A Pilot Study. J Sex Med 2021;18:209-214.

Intuitive representation of surface properties of biomolecules using BioBlender.

BACKGROUND: In living cells, proteins are in continuous motion and interaction with the surrounding medium and/or other proteins and ligands. These interactions are mediated by protein features such as electrostatic and lipophilic potentials. The availability of protein structures enables the study of their surfaces and surface characteristics, based on atomic contribution. Traditionally, these properties are calculated by physico-chemical programs and visualized as range of colors that vary according to the tool used and imposes the necessity of a legend to decrypt it. The use of color to encode both characteristics makes the simultaneous visualization almost impossible, requiring these features to be visualized in different images. In this work, we describe a novel and intuitive code for the simultaneous visualization of these properties. METHODS: Recent advances in 3D animation and rendering software have not yet been exploited for the representation of biomolecules in an intuitive, animated form. For our purpose we use Blender, an open-source, free, cross-platform application used professionally for 3D work. On the basis Blender, we developed BioBlender, dedicated to biological work: elaboration of protein motion with simultaneous visualization of their chemical and physical features. Electrostatic and lipophilic potentials are calculated using physico-chemical software and scripts, organized and accessed through BioBlender interface. RESULTS: A new visual code is introduced for molecular lipophilic potential: a range of optical features going from smooth-shiny for hydrophobic regions to rough-dull for hydrophilic ones. Electrostatic potential is represented as animated line particles that flow along field lines, proportional to the total charge of the protein. CONCLUSIONS: Our system permits visualization of molecular features and, in the case of moving proteins, their continuous perception, calculated for each conformation during motion. Using real world tactile/sight feelings, the nanoscale world of proteins becomes more understandable, familiar to our everyday life, making it easier to introduce "un-seen" phenomena (concepts) such as hydropathy or charges. Moreover, this representation contributes to gain insight into molecular functions by drawing viewer's attention to the most active regions of the protein. The program, available for Windows, Linux and MacOS, can be downloaded freely from the dedicated website http://www.bioblender.eu.

Flow-based local optimization for image-to-geometry projection.

The projection of a photographic data set on a 3D model is a robust and widely applicable way to acquire appearance information of an object. The first step of this procedure is the alignment of the images on the 3D model. While any reconstruction pipeline aims at avoiding misregistration by improving camera calibrations and geometry, in practice a perfect alignment cannot always be reached. Depending on the way multiple camera images are fused on the object surface, remaining misregistrations show up either as ghosting or as discontinuities at transitions from one camera view to another. In this paper we propose a method, based on the computation of Optical Flow between overlapping images, to correct the local misalignment by determining the necessary displacement. The goal is to correct the symptoms of misregistration, instead of searching for a globally consistent mapping, which might not exist. The method scales up well with the size of the data set (both photographic and geometric) and is quite independent of the characteristics of the 3D model (topology cleanliness, parametrization, density). The method is robust and can handle real world cases that have different characteristics: low level geometric details and images that lack enough features for global optimization or manual methods. It can be applied to different mapping strategies, such as texture or per-vertex attribute encoding.