Data management/Annotation software tools | Conventional fluorescence microscopy image analysis
Find and compare the best bioinformatics software tools for navigating, sharing and collaboratively annotating massive image data sets of biological specimens acquired by conventional fluorescence microscopy. Tools are ranked by the biomedical research community.
Performs crowd-based images annotation. Quanti.us is a portal that assists users in recruiting groups of untrained Mechanical Turk workers (Turkers) to annotate images using a set of interaction tools. The platform enables uploading of image sets, selection of an analysis tool, and provides sets of instructions. Users can gather hand annotations by marshaling paid Turkers to annotate a range of image types. Quanti.us thus makes crowd analysis of scientific images applicable to several annotation problems.
A cross-platform data management system for cell migration/invasion data that simplifies and fully automates data management, storage and analysis, from experimental set-up to data visualization and exploration. CellMissy is a client-server application with a graphical user interface on the client, and a relational database in the back-end to store the data. The client application is composed of three modules that cover the different functions of CellMissy: the Experiment Manager, the Data Loader and the Data Analyzer. On top of these modules, CellMissy provides tools for import/export of full experiments and templates.
An open source, platform-independent viewer making use of the latest web technologies that allows seamless access to images and associated metadata for each image. HTML5 PivotViewer provides a powerful method to allow end users to mine their data.
It is able to apply pattern recognition algorithms to two- and three-dimensional biological image sets as well as regions of interest (ROIs) in individual images for automatic classification and annotation. The customizability of BIOCAT is expected to be useful for providing effective and efficient solutions for a variety of biological problems involving image classification and annotation.
It is the ideal "glue" for easily integrating dissimilar fluorescent microscope hardware and peripherals into a single custom workstation, while providing all the tools needed to perform meaningful analysis of acquired images. The software offers many user-friendly application modules for biology-specific analysis such as cell signaling, cell counting, and protein expression.
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