Contributors: Massimo Salvi
... This repository contains the FAST algorithm graphical user interface and some sample image used in the following work: - Salvi M., Cerrato V., Buffo A., and Molinari F., "Automated Segmentation of Brain Cells for Clonal Analyses in Fluorescence Microscopy Images", J Neurosci Methods 2019 (DOI: 10.1016/j.jneumeth.2019.108348) ABSTRACT The understanding of how cell diversity within and across distinct brain regions is ontogenetically achieved is a pivotal topic in neuroscience. Clonal analyses based on multicolor cell labeling represent a powerful tool to tackle this issue and disclose lineage relationships, but produce enormous sets of fluorescence images, leading to time consuming analyses that may be biased by the operator’s subjectivity. Thus, time-efficient automated software are needed to analyze images easily, accurately and without subjective bias. In this paper, we present a fully automated method, named FAST (‘Fluorescent cell Analysis Segmentation Tool’), for the segmentation of neural cells labeled by multicolor combinations of fluorophores and for their classification into clones. The proposed method was tested on 77 high-magnification fluorescence images of adult mouse cerebellar tissues acquired using a confocal microscope. Automatic results were compared with manual annotations and two open-source software designed for cell detection in microscopic imaging. The algorithm showed very good performance in the cellular detection and in the assignment of the clonal identity. To the best of our knowledge, FAST is the first fully automated technique for the analysis of cellular clones based on combinatorial expression of fluorescent proteins. The proposed approach allows to perform clonal analyses easily, accurately and objectively, overcoming those biases and errors that may result from manual annotations. Moreover, it can be broadly applied to the quantification and colocalization within cells of fluorescent markers, therefore representing a versatile and powerful tool for automated quantitative analyses in fluorescence microscopy.
mHeart - mHealthCare Platform Adapted to the Heart Transplant Population - Technical Specifications and Software Source Code
Contributors: Mar Gomis-Pastor, Vicente Pellicer, Miriam Ors, Mª Antonia Mangues
... The information is provided to increase the data transparency and the scalability of eHealth research and particularly the mHeart studies scalability. This dataset contains relevant information on: - The mHealthCare Platform Technological Description and Specifications. This file aims to describe the general mHealthcare Platform developed by the private firm which has been thereafter adapted to the heart transplant specifications (mHeart System). - The mHeart source code description of the 3 applications (website, app Android, app Apple) and storage location. - A video of the clinical use of the mHeart mobile application. - An apk file with a DEMO (Spain Version 2015). Please, notice that this is a dynamic process. Multiples versions will be uploaded since mHeart was developed. Consult the DEMO access directly on Stores. - User Guidelines (Spain Version 2015) - Scientific Authorship Statement - mHeart trademark - the mHeart System funding and reimbursement model. The mHealthCare Platform is an internet-based system to carry out integral healthcare for disease and therapy management in any population. The first version uploaded in Hospital de la Santa Creu i Sant Pau (HSCSP) was directed at transplant populations and was specifically adapted to the heart transplant population in the ambulatory setting. The mHeart program has been classified by authors as a Behavior Intervention Technology (BIT) to facilitate the following overall clinical goals: (1) health behavior change (i.e. increase patients’ healthy behaviors and prevent the onset of disease); and (2) targeted disease management (i.e. facilitate therapeutic interventions and improve patient’s self-management). The mHeart tool is a mobile phone app connected to a website for use by providers and patients. The tool can be used simultaneously on distinct devices to facilitate caregiver and guardian support. The mobile application can be downloaded for free from the Google and Apple online stores. The website link is salud.trilema.es. The system was developed by Socioemprende SL Technical Team. Scientific advice was provided by the heart transplant interdisciplinary healthcare team and directed by the Pharmacy Department, HSCSP. For further questions about the System, please contact with the scientific coordinator Mar Gomis-Pastor: firstname.lastname@example.org
Contributors: UnaElsLive Natra
... MD-2831 Update Java version in the Docker containers
Top results from Data Repository sources. Show only results like these.
Contributors: James Burke
... Raw images for Supplemental Figures S4-S7
Contributors: James Burke
... Raw images for Supplemental Figures 1, 2, 3
Formation of artifact-hydride in Zr-containing amorphous alloys during sample preparation and atom probe tomography
Contributors: chetarpa yipyintum
... Hydride formation in Zr-containing amorphous alloys as an experimental artifact was investigated utilizing atom probe tomography, transmission electron microscopy, and focused ion beam with normal and cryogenic conditions. The amount of hydrogen existing in the atom probe specimens decreased significantly by utilizing focused ion beam milling under cryogenic condition. Also, the formation of hydride was confirmed by diffraction pattern analysis in the remaining tip of the specimen after the atom probe tomography experiment. With those collected pieces of evidence, sources of hydrogen in the atom probe tomography were discussed.
Contributors: chengyi tu
... Universal Cointegration and Its Applications
Contributors: Eusebio de la Fuente
... This dataset contain the code, test videos and the results of the developed algorithm. The detection is based on texture analysis using the LBP technique.
Additional video materials for paper "The mathematical model of damped oscillations of elastic rod considering dual – phase lagging"
Contributors: Igor Kudinov
... These animated graphs allow us to estimate the change in displacements at each point of the rod in the entire time range of the damped process
Contributors: UnaElsLive Natra, mdgmatest5 live
... RDM - File Type Support 21May2019 ElsCustomer Apart from .u3d all files preview [ .obj / .ply / .vtk / .stl / .ent / .brk / .pdb / .pse / .mol / .mol2 / .cif / .u3d / .dcm / .nii] - .pse is not supported