DINAVID: A Distributed and Networked Image Analysis System for Volumetric Image Data

Background The advancement of high content optical microscopy has enabled the acquisition of very large 3D image datasets. Image analysis tools and three dimensional visualization are critical for analyzing and interpreting 3D image volumes. The analysis of these volumes require more computational resources than a biologist may have access to in typical desktop or laptop computers. This is especially true if machine learning tools are being used for image analysis. With the increased amount of data analysis and computational complexity, there is a need for a more accessible, easy-to-use, and efficient network-based/cloud-based 3D image processing system. Results The Distributed and Networked Analysis of Volumetric Image Data (DINAVID) system was developed to enable remote analysis of 3D microscopy images for biologists. DINAVID is a server/cloud-based system with a simple web interface that allows biologists to upload 3D volumes for analysis and visualization. DINAVID is designed using open source tools and has two main sub-systems, a computational system for 3D microscopy image processing and analysis as well as a 3D visualization system. Conclusions In this paper, we will present an overview of the DINAVID system and compare it to other tools currently available for microscopy image analysis. ### Competing Interest Statement The authors have declared no competing interest. * DINAVID : Distributed and Networked Analysis of Volumetric Image Data 3D : Three Dimensional 2D : Two Dimensional MB : Megabyte GB : Gigabyte TB : Terabyte GPU : Graphics Processing Unit WIPP : Web Image Processing Pipeline NIST : National Institute of Standards and Technology CNN : Convolutional Neural Network WebGL : Web Graphics Library Mb/s : Megabit per Second HTML : Hypertext Markup Language CSS : Cascading Style Sheets AJAX : Asynchronous JavaScript and XML ROI : Region of Interest GUI : Graphical User Interface;