scholarly journals Droplet image analysis with user-friendly freeware CellProfiler

2020 ◽  
Vol 12 (17) ◽  
pp. 2287-2294
Author(s):  
Simona Bartkova ◽  
Marko Vendelin ◽  
Immanuel Sanka ◽  
Pille Pata ◽  
Ott Scheler
Keyword(s):  
Image Analysis ◽  
Open Source ◽  
User Friendly ◽  
Free Open Source

We show how to use free open-source CellProfiler for droplet microfluidic image analysis.

scholarly journals Free & Open Source Software (FOSS) in Website Designing

2019 ◽  
Vol 9 (1) ◽  
pp. 50-53
Keyword(s):  
Open Source ◽  
Web Sites ◽  
Basic Element ◽  
Secure Environment ◽  
Recent Developments ◽  
User Friendly ◽  
Social Networking Website ◽  
Free Open Source ◽  
The Way

People want website to be fast, user-friendly, secure & free to use. Web sites have become a critical part of business, and the tools to create and deploy Web sites are becoming more flexible and easier to use. This paper talks about the role of FOSS in Website Designing. FOSS proves to be a boon for website developers in the way that they are secure, robust and free to use & modify. The open source tools available in the market facilitate the tool -box of a website developer. The use of FOSS increases the productivity, provide a secure Environment & also save a website developer of getting screwed under the copyright act. This paper talks about the technologies which FOSS world currently offers to the website developers and also the revolution which is awaiting to flourish the market. It also incorporates a study of the recent developments & the way market is becoming more dependent on FOSS. For example, PHP is the basic element of the most famous social networking website today, the Facebook. Also, GMAIL is entirely based on the open source language, Python.

scholarly journals End Point Rate Tool for QGIS (EPR4Q): Validation using DSAS and AMBUR

2021 ◽  
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
Jean Marcel de Almeida Espinoza ◽  
Miguel da Guia Albuquerque ◽  
Cristina de Almeida Bernardes
Keyword(s):  
Open Source ◽  
Pearson Correlation ◽  
Shoreline Change ◽  
End Point ◽  
Free Extension ◽  
Analysis System ◽  
End Point Rate ◽  
User Friendly ◽  
Free Open Source ◽  
Scientific Engineering

This paper presents the validation of the End Point Rate (EPR) tool for QGIS (EPR4Q), a tool built-in QGIS Graphical Modeler to calculate the shoreline change by End Point Rate method. The EPR4Q tries to fill the gap of user-friendly and free open-source tool for shoreline analysis in Geographic Information System environment, since the most used software - Digital Shoreline Analysis System (DSAS) - although is a free extension, is suited for commercial software. Besides, the best free open-source option to calculate EPR called Analyzing Moving Boundaries Using R (AMBUR), since it is a robust and powerful tool, the complexity and heavy processes can restrict the accessibility and simple usage. The validation methodology consists of applying the EPR4Q, DSAS, and AMBUR on different examples of shorelines found in nature, extracted from the U.S. Geological Survey Open-File. The obtained results of each tool were compared with Pearson correlation coefficient. The validation results indicate that the EPR4Q tool created acquired high correlation values with DSAS and AMBUR, reaching a coefficient of 0.98 to 1.00 on linear, extensive, and non-extensive shorelines, guarantying that the EPR4Q tool is ready to be freely used by the academic, scientific, engineering, and coastal managers communities worldwide.

scholarly journals QuPath: Open source software for digital pathology image analysis

2017 ◽  
Author(s):  
Peter Bankhead ◽  
Maurice B Loughrey ◽  
José A Fernández ◽  
Yvonne Dombrowski ◽  
Darragh G McArt ◽  
...  
Keyword(s):  
Image Analysis ◽  
Open Source ◽  
Digital Pathology ◽  
Tumor Identification ◽  
Wide Range ◽  
Slide Image ◽  
Bioimage Analysis ◽  
Additional Image ◽  
User Friendly ◽  
Biomarker Evaluation

AbstractQuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.

scholarly journals End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR

2021 ◽  
Vol 10 (3) ◽  
pp. 162
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
Jean Marcel de Almeida Espinoza ◽  
Miguel da Guia Albuquerque ◽  
Cristina Bernardes
Keyword(s):  
Open Source ◽  
Shoreline Change ◽  
End Point ◽  
Free Extension ◽  
The Us ◽  
Analysis System ◽  
End Point Rate ◽  
User Friendly ◽  
Free Open Source ◽  
Scientific Engineering

This paper presents the validation of the End Point Rate (EPR) tool for QGIS (EPR4Q), a tool built-in QGIS graphical modeler for calculating the shoreline change with the end point rate method. The EPR4Q tries to fill the gaps in user-friendly and free open-source tools for shoreline analysis in a geographic information system environment since the most used software—Digital Shoreline Analysis System (DSAS)—although being a free extension, it is created for commercial software. Additionally, the best free, open-source option to calculate EPR is called Analyzing Moving Boundaries Using R (AMBUR); since it is a robust and powerful tool, the complexity can restrict the accessibility and simple usage. The validation methodology consists of applying the EPR4Q, DSAS, and AMBUR with different types of shorelines found in nature, extracted from the US Geological Survey Open-File. The obtained results of each tool were compared with Pearson’s correlation coefficient. The validation results indicate that the EPR4Q tool acquired high correlation values with DSAS and AMBUR, reaching a coefficient of 0.98 to 1.00 on linear, extensive, and non-extensive shorelines, proving that the EPR4Q tool is ready to be freely used by the academic, scientific, engineering, and coastal managers communities worldwide.

scholarly journals The Charcoal Quantification Tool (CharTool): A Suite of Open-source Tools for Quantifying Charcoal Fragments and Sediment Properties in Archaeological and Paleoecological Analysis

2020 ◽  
Vol 11 (1) ◽  
pp. 103-115
Author(s):  
Grant Snitker
Keyword(s):  
Image Analysis ◽  
Open Source ◽  
Digital Image Analysis ◽  
Multiple Scales ◽  
Low Cost ◽  
Open Science ◽  
Charcoal Analysis ◽  
Sediment Properties ◽  
Standard Methods ◽  
Free Open Source

Sedimentary charcoal analysis is increasingly used in archaeological and paleoecological research to examine human-environmental relationships at multiple scales. The recent availability of low-cost digital microscopes and imaging software has resulted in the rapid adoption of digital image analysis in charcoal studies. However, most published studies include only minimal accounts of software configurations or utilize proprietary image analysis programs, thus hindering replication, standardization, and comparability of charcoal analyses across the field. In an effort to encourage replicable methods and a culture of open science, this paper presents the Charcoal Quantification Tool (CharTool), a free, open-source suite of charcoal and sediment quantification tools designed for use with ImageJ. CharTool blends standard methods in visual and digital charcoal analysis to increase the analyst’s participation in identifying and measuring charcoal metrics. Each CharTool module is described and demonstrated in a vignette using sedimentary charcoal collected from the Son Servera study area, Mallorca, Spain. A suggested workflow, user-guide, scripted analyses for processing outputs, and download instructions are included as supplementary materials to this article.

scholarly journals End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR

2021 ◽  
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
Jean Marcel de Almeida Espinoza ◽  
Miguel da Guia Albuquerque ◽  
Cristina de Almeida Bernardes
Keyword(s):  
Open Source ◽  
Pearson Correlation ◽  
Shoreline Change ◽  
End Point ◽  
Free Extension ◽  
Analysis System ◽  
End Point Rate ◽  
User Friendly ◽  
Free Open Source ◽  
Scientific Engineering

This paper presents the validation of the End Point Rate (EPR) tool for QGIS (EPR4Q), a tool built-in QGIS Graphical Modeler to calculate the shoreline change by End Point Rate method. The EPR4Q tries to fill the gap of user-friendly and free open-source tool for shoreline analysis in Geographic Information System environment, since the most used software - Digital Shoreline Analysis System (DSAS) - although is a free extension, is suited for commercial software. Besides, the best free open-source option to calculate EPR called Analyzing Moving Boundaries Using R (AMBUR), since it is a robust and powerful tool, the complexity and heavy processes can restrict the accessibility and simple usage. The validation methodology consists of applying the EPR4Q, DSAS, and AMBUR on different examples of shorelines found in nature, extracted from the U.S. Geological Survey Open-File. The obtained results of each tool were compared with Pearson correlation coefficient. The validation results indicate that the EPR4Q tool created acquired high correlation values with DSAS and AMBUR, reaching a coefficient of 0.98 to 1.00 on linear, extensive, and non-extensive shorelines, guarantying that the EPR4Q tool is ready to be freely used by the academic, scientific, engineering, and coastal managers communities worldwide.

SIGN IN Welcome!Log into your account your username your password Forgot your password Privacy policy PASSWORD RECOVERY Recover your password your email Struktol Home New fast measuring method for process optimization of sucrose crystallization New fast measuring method for process optimization of sucrose crystallization

2020 ◽  
pp. 49-52
Author(s):  
Trine Aabo Andersen
Keyword(s):  
Image Analysis ◽  
Process Optimization ◽  
Crystal Size ◽  
Measuring Method ◽  
Sieve Analysis ◽  
Image Analysis System ◽  
Line System ◽  
Non Invasive ◽  
Analysis System ◽  
User Friendly

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

MackDroid - An Android based Application to monitor devices

2016 ◽  
Vol 9 ◽  
pp. 1
Author(s):  
Maaz Sirkhot ◽  
Ekta Sirwani ◽  
Aishwarya Kourani ◽  
Akshit Batheja ◽  
Kajal Jethanand Jewani
Keyword(s):  
Operating System ◽  
Open Source ◽  
Vital Role ◽  
Mobile Users ◽  
Android Application ◽  
Web Page ◽  
Technological World ◽  
Monitoring Service ◽  
User Friendly

In this technological world, smartphones can be considered as one of the most far-reaching inventions. It plays a vital role in connecting people socially. The number of mobile users using an Android based smartphone has increased rapidly since last few years resulting in organizations, cyber cell departments, government authorities feeling the need to monitor the activities on certain targeted devices in order to maintain proper functionality of their respective jobs. Also with the advent of smartphones, Android became one of the most popular and widely used Operating System. Its highlighting features are that it is user friendly, smartly designed, flexible, highly customizable and supports latest technologies like IoT. One of the features that makes it exclusive is that it is based on Linux and is Open Source for all the developers. This is the reason why our project Mackdroid is an Android based application that collects data from the remote device, stores it and displays on a PHP based web page. It is primarily a monitoring service that analyzes the contents and distributes it in various categories like Call Logs, Chats, Key logs, etc. Our project aims at developing an Android application that can be used to track, monitor, store and grab data from the device and store it on a server which can be accessed by the handler of the application.

Sign in / Sign up

Export Citation Format

Share Document