BisQue Docs
  • Welcome
  • BisQue Service
    • LogIn / SignUp
    • Data Storage
      • Data Upload from Web
      • Data Upload from CLI
      • Upload other file formats
        • Upload DICOM files
    • Data Visualization
      • Brain CT Scans
      • Multi-spectral Imagery
      • 3D Materials
      • JPEGs and PNGs
    • Data Analysis / Modules
      • Maasai Mara
        • Mara Animal Annotator
        • Mara Animal Detector
        • Mara Report Generator
        • Mara Evaluator
        • Train a new detector
      • Underwater Species Tracker and Counter
      • Prairie Dog Detection
      • NPH Prediction
      • iNPH Analysis
      • CellECT 2.0
    • Other BisQue Features
      • Annotations on BisQue
  • Running BisQue Service
    • Installing, Running, and Deploying BisQue
    • Docker Installation
  • Developing a BisQue Module
    • BisQue Module Generator
      • Step 0. Organizing Your Code
      • Step 1. Create BisQue Module
      • Step 2. Testing Your Module
      • Step 3. Debugging
    • Run Modules Locally
    • Further Customization
  • BisQue API
    • Install Python BQAPI
    • BQAPI Services
    • Upload an Image
    • Download an Array
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  • Welcome to Official BisQue Documentation
  • What is BisQue
  • BisQue Service: Jump right in
  • Developers

Welcome

BisQue Intro

NextLogIn / SignUp

Last updated 1 year ago

Welcome to Official BisQue Documentation

What is BisQue

BisQue is an open-source web-based platform that supports data storage for petabytes, ML based data analysis and reproducible workflows, and visualization.

BisQue is specifically designed to provide researchers with organizational and quantitative analysis tools for up to 5D image data. Users can extend BisQue by creating their own modules that take advantage of cutting edge machine learning algorithms. BisQue’s extensibility stems from two core concepts: an open web-based architecture and a flexible metadata facility. Together, these empower researchers to create, develop, and share novel multi-modal data analyses.

BisQue Service: Jump right in

Follow our handy guides to get started on the basics as quickly as possible:

Developers

Deploy your own instance of BisQue with Docker or Kubernetes, and Build your own module using our BQ Module Generator Command Line Interface (CLI).

Data Storage
Data Visualization
Data Analysis / Modules
Installing, Running, and Deploying BisQue
Docker Installation
Install Python BQAPI
Github Banner
Contributors