-Folder MATLAB files contains *mat files, which is data to start the described code in the data in brief manuscript.
-Folder Photographs, Flasks 1-4 contains pictures of rising bubbles in a flask.
-Folder Videos, Flasks 1-4 contains videos of the rising bubbles in a flask.
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)
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.
To improve the interface incompatibility, poor corrosion resistance, and limited combustion efficiency of aluminum powder for propellant applications. The surface of the naked aluminum was coated with a layer of dense nickel of about 100 nm by replacement method. A polydopamine film was then deposited by self-polymerization. The double-layer structure and chemical composition were investigated. The polydopamine content of composite particles was 2.3% by thermal analysis. And its heat release around 1050 C reached 4137 J g-1, which was much higher than that of aluminum of 1644 J g-1. The surface energies was used to calculate the theoretical adhesion work of aluminum and composite particles to propellant binder. The adhesion work after modification was increased from 62.33 mN m-1 to 74.89 mN m-1. No matter in the weak acid/alkaline or neutral environment, the composite particles exhibited excellent stability at 50 C. In addition, the combustion test revealed that the composite particles had higher combustion efficiency, smaller condensed phase product size, and stronger ignition ability. All the conclusions indicate after modification by nickel and dopamine, the comprehensive performance of aluminum is improved, and it may be used as an energy component in propellants or other energetic fields.
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
Since the amount of data that has been acquired, processed and presented in the paper is non-negligible, the Authors decided to share, as an example, only two combustion points data.
Both these points are related to a lambda 1.4 air-CH4 mixture: one ignited by a conventional spark igniter, and one by an RF corona igniter. They have been acquired in the Internal Combustion Engine Lab of the University of Perugia, Department of Engineering.
Authors agree to share further data upon request.
The shared data have been converted into an open-access format for sharing purposes: a .csv file for indicating analysis (only in-cylinder pressure is shown) and a .mp4 file (flame images).
The .csv files contain the in-cylinder pressure traces in 103 columns: the first one is related to the crank angle degree value (one row each 0.1 CAD), the second one to the average pressure trace, and each of the following 101 is related to the in-cylinder pressure of a single combustion event.
The .mp4 files contain the flame images related to one of the 101 combustion pressure traces reported in the corresponding .csv file. The temporal resolution is 0.3 CAD/frame, and the .mp4 speed, during the conversion, was set to 20 fps.
Contributors:Soo-Min Ham, Tae-Hyuk Kwon
This dataset comprises the results of the hydraulic fracturing test: raw and unprocessed video files, fluid pressures, stress intensity factors, and fracture velocities. Conditions for each experiment are indicated in the description with gelatin stiffness: L for low stiffness, M for medium stiffness, H for high stiffness, and VH for very high stiffness. Total 9 cases of the experiment, 3 cases of homogeneous gelatin samples and 6 cases of layered gelatin samples, were investigated.
A swirling fluidized bed reactor design for the preparation of supported nanoparticles is reported. It uses a DC plasma torch that decomposes and vaporizes salt precursors; the cationic part condenses as metal nanoparticles on a powder support. Any fluidizable granular material can be used as support, as long as it withstands the temperatures of the plasma torch. The torch is located at the center of the reactor axis and the powder is fluidized using a cyclonic action (swirl) to minimize the space where the grains could come into direct contact with the plasma zone. The reactor was tested for the production of silver nanoparticles (AgNPs) supported on silica-alumina, using silver nitrate as precursor.
Contributors:benli yu, wang hui, Jinhui Shi, GANG ZHANG, Shili Li, xuqiang wu, Qiang Ge
A CO2 laser fusion splicer (Lzm100) is employed to splice the sensor
Contributors:benli yu, wang hui, Jinhui Shi, GANG ZHANG, Shili Li, xuqiang wu, Qiang Ge
Contributors:Paola Baskin, Bruce Kimura
Esophageal insufflation during bag mask ventilation