Web Application and Image Analysis Tool to Measure and Monitoring the Density in Bone Fractures with a Predictive Approach

2009 ◽  
pp. 718-721
Author(s):  
B. Rosario Campomanes Álvarez ◽  
Ángel Martínez Nistal ◽  
José Paz Jiménez ◽  
Marco A. García Tamargo ◽  
Alfredo S. Alguero García ◽  
...  
Keyword(s):  
Image Analysis ◽  
Web Application ◽  
Bone Fractures ◽  
Analysis Tool ◽  
Predictive Approach

scholarly journals Alignment of Au nanorods along de novo designed protein nanofibers studied with automated image analysis

Soft Matter ◽  
2021 ◽  
Author(s):  
Muammer Y. Yaman ◽  
Kathryn N. Guye ◽  
Maxim Ziatdinov ◽  
Hao Shen ◽  
David Baker ◽  
...  
Keyword(s):  
Image Analysis ◽  
De Novo ◽  
Automated Image Analysis ◽  
Analysis Tool ◽  
Au Nanorods

In this study, we focus on exploring the directional assembly of anisotropic Au nanorods along de novo designed 1D protein nanofiber templates using automated image analysis tool.

scholarly journals Identifying biological landmarks using a novel cell measuring image analysis tool: Cell-o-Tape

Plant Methods ◽  
2012 ◽  
Vol 8 (1) ◽  
pp. 7 ◽  
Author(s):  
Andrew P French ◽  
Michael H Wilson ◽  
Kim Kenobi ◽  
Daniela Dietrich ◽  
Ute Voss ◽  
...  
Keyword(s):  
Image Analysis ◽  
Analysis Tool

scholarly journals RiboA: a web application to identify ribosome A-site locations in ribosome profiling data

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Danying Shao ◽  
Nabeel Ahmed ◽  
Nishant Soni ◽  
Edward P. O’Brien
Keyword(s):  
Integer Programming ◽  
Web Application ◽  
Stop Codon ◽  
Ribosome Profiling ◽  
Programming Method ◽  
Analysis Tool ◽  
Site Location ◽  
Link Type ◽  
Wide Range ◽  
A Site

Abstract Background Translation is a fundamental process in gene expression. Ribosome profiling is a method that enables the study of transcriptome-wide translation. A fundamental, technical challenge in analyzing Ribo-Seq data is identifying the A-site location on ribosome-protected mRNA fragments. Identification of the A-site is essential as it is at this location on the ribosome where a codon is translated into an amino acid. Incorrect assignment of a read to the A-site can lead to lower signal-to-noise ratio and loss of correlations necessary to understand the molecular factors influencing translation. Therefore, an easy-to-use and accurate analysis tool is needed to accurately identify the A-site locations. Results We present RiboA, a web application that identifies the most accurate A-site location on a ribosome-protected mRNA fragment and generates the A-site read density profiles. It uses an Integer Programming method that reflects the biological fact that the A-site of actively translating ribosomes is generally located between the second codon and stop codon of a transcript, and utilizes a wide range of mRNA fragment sizes in and around the coding sequence (CDS). The web application is containerized with Docker, and it can be easily ported across platforms. Conclusions The Integer Programming method that RiboA utilizes is the most accurate in identifying the A-site on Ribo-Seq mRNA fragments compared to other methods. RiboA makes it easier for the community to use this method via a user-friendly and portable web application. In addition, RiboA supports reproducible analyses by tracking all the input datasets and parameters, and it provides enhanced visualization to facilitate scientific exploration. RiboA is available as a web service at https://a-site.vmhost.psu.edu/. The code is publicly available at https://github.com/obrien-lab/aip_web_docker under the MIT license.

scholarly journals The Web Application of Constitution Analysis System - SCAT (Sasang Constitution Analysis Tool) -

2016 ◽  
Vol 28 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ji-Ho So ◽  
Jang-Woong Kim ◽  
Ji-Ho Nam ◽  
Bum-Ju Lee ◽  
Young-Su Kim ◽  
...  
Keyword(s):  
Web Application ◽  
Analysis Tool ◽  
Sasang Constitution ◽  
Analysis System ◽  
The Web

Automated image analysis tool to measure microbial growth on solid cultures

2018 ◽  
Vol 151 ◽  
pp. 426-430 ◽  
Author(s):  
Francisco Javier Ancin-Murguzur ◽  
Aitor Barbero-López ◽  
Sari Kontunen-Soppela ◽  
Antti Haapala
Keyword(s):  
Image Analysis ◽  
Microbial Growth ◽  
Automated Image Analysis ◽  
Analysis Tool

IHCREAD: AN AUTOMATIC IMMUNOHISTOCHEMISTRY IMAGE ANALYSIS TOOL

2011 ◽  
pp. 137-143
Author(s):  
Chao-Yen Hsu ◽  
Rouh-Mei Hu ◽  
Rong-Ming Chen ◽  
Jong-Waye Ou ◽  
Jeffrey J.P. Tsai
Keyword(s):  
Image Analysis ◽  
Analysis Tool

scholarly journals YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells

2019 ◽  
Vol 35 (21) ◽  
pp. 4525-4527 ◽  
Author(s):  
Alex X Lu ◽  
Taraneh Zarin ◽  
Ian S Hsu ◽  
Alan M Moses
Keyword(s):  
Image Analysis ◽  
Web Application ◽  
Single Cells ◽  
Yeast Cells ◽  
Supplementary Information ◽  
Supplementary Data ◽  
User Friendly ◽  
Microscopy Images

Abstract Summary We introduce YeastSpotter, a web application for the segmentation of yeast microscopy images into single cells. YeastSpotter is user-friendly and generalizable, reducing the computational expertise required for this critical preprocessing step in many image analysis pipelines. Availability and implementation YeastSpotter is available at http://yeastspotter.csb.utoronto.ca/. Code is available at https://github.com/alexxijielu/yeast_segmentation. Supplementary information Supplementary data are available at Bioinformatics online.

Estimation in the Field of Individual Perennial Ryegrass Plant Position and Dry Matter Production Using a Custom-Made High-Throughput Image Analysis Tool

Crop Science ◽  
2015 ◽  
Vol 55 (6) ◽  
pp. 2910-2917 ◽  
Author(s):  
Chris L. Hunt ◽  
Chris S. Jones ◽  
Michael J. Hickey ◽  
John P. Koolaard ◽  
John West ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Throughput ◽  
Perennial Ryegrass ◽  
Dry Matter ◽  
Dry Matter Production ◽  
Analysis Tool ◽  
Matter Production ◽  
Custom Made

scholarly journals An automated quantitative image analysis tool for the identification of microtubule patterns in plants

Traffic ◽  
2017 ◽  
Vol 18 (10) ◽  
pp. 683-693 ◽  
Author(s):  
Christine Faulkner ◽  
Ji Zhou ◽  
Alexandre Evrard ◽  
Gildas Bourdais ◽  
Dan MacLean ◽  
...  
Keyword(s):  
Image Analysis ◽  
Quantitative Image Analysis ◽  
Analysis Tool ◽  
Quantitative Image
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