webpic: A flexible web application for collecting distance and count measurements from images.

Despite increasing ability to store and analyze large amounts of data for organismal and ecological studies, the process of collecting distance and count measurements from images has largely remained time consuming and error-prone, particularly for tasks for which automation is difficult or impossib...

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Main Author: Lucy M Chang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5880364?pdf=render
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spelling doaj-579137fb6074491bb872d423413449bf2020-11-25T02:05:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01134e019518410.1371/journal.pone.0195184webpic: A flexible web application for collecting distance and count measurements from images.Lucy M ChangDespite increasing ability to store and analyze large amounts of data for organismal and ecological studies, the process of collecting distance and count measurements from images has largely remained time consuming and error-prone, particularly for tasks for which automation is difficult or impossible. Improving the efficiency of these tasks, which allows for more high quality data to be collected in a shorter amount of time, is therefore a high priority. The open-source web application, webpic, implements common web languages and widely available libraries and productivity apps to streamline the process of collecting distance and count measurements from images. In this paper, I introduce the framework of webpic and demonstrate one readily available feature of this application, linear measurements, using fossil leaf specimens. This application fills the gap between workflows accomplishable by individuals through existing software and those accomplishable by large, unmoderated crowds. It demonstrates that flexible web languages can be used to streamline time-intensive research tasks without the use of specialized equipment or proprietary software and highlights the potential for web resources to facilitate data collection in research tasks and outreach activities with improved efficiency.http://europepmc.org/articles/PMC5880364?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Lucy M Chang
spellingShingle Lucy M Chang
webpic: A flexible web application for collecting distance and count measurements from images.
PLoS ONE
author_facet Lucy M Chang
author_sort Lucy M Chang
title webpic: A flexible web application for collecting distance and count measurements from images.
title_short webpic: A flexible web application for collecting distance and count measurements from images.
title_full webpic: A flexible web application for collecting distance and count measurements from images.
title_fullStr webpic: A flexible web application for collecting distance and count measurements from images.
title_full_unstemmed webpic: A flexible web application for collecting distance and count measurements from images.
title_sort webpic: a flexible web application for collecting distance and count measurements from images.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description Despite increasing ability to store and analyze large amounts of data for organismal and ecological studies, the process of collecting distance and count measurements from images has largely remained time consuming and error-prone, particularly for tasks for which automation is difficult or impossible. Improving the efficiency of these tasks, which allows for more high quality data to be collected in a shorter amount of time, is therefore a high priority. The open-source web application, webpic, implements common web languages and widely available libraries and productivity apps to streamline the process of collecting distance and count measurements from images. In this paper, I introduce the framework of webpic and demonstrate one readily available feature of this application, linear measurements, using fossil leaf specimens. This application fills the gap between workflows accomplishable by individuals through existing software and those accomplishable by large, unmoderated crowds. It demonstrates that flexible web languages can be used to streamline time-intensive research tasks without the use of specialized equipment or proprietary software and highlights the potential for web resources to facilitate data collection in research tasks and outreach activities with improved efficiency.
url http://europepmc.org/articles/PMC5880364?pdf=render
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