What is BeQuanti?

BeQuanti is a software package designed to automatically detect and quantify cell interaction underflow. It is the instrumental solution for research laboratories working on cell trafficking for basic research and drug discovery.

Why BeQuanti?

BeQuanti dramatically speeds up your research process performing fine detailed and reliable analysis of several cell adhesion parameters.

Trial version

A 30 days trial version is available free of charge, both for Windows and Mac OS. Before using the software for the first time, we recommend you to watch the BeQuanti Quick Video Tutorial.

Download Trial

Optimal Conditions

BeQuanti is optimized for parallel chamber under-flow settings and for phase contrast microscopy, independently of the flow direction. It is ideally suitable for multiple microfluidic under-flow experimental settings, such as the BioFlux™ Live Cell Imaging Systems. Capillary tube-derived data can also be analyzed.

Customizations

BeQuanti is modular and customizable. Contact us for any specific requirements.

BeQuanti Brochure

"Our LCTST lab collaborated to the development of BeQuanti to realize a novel bioinformatics tool useful to the leukocyte trafficking community. BeQuanti is implemented according to modern parameters of cell recognition and characterization.

The result is an integrated, easy to use, yet highly flexible bioinformatics environment allowing automatic comprehensive quantification of cell behavior under-flow"

Prof. C. Laudanna, MD, PhD, University of Verona, Laboratory of Cell Trafficking and Signal Transduction and the Center for Biomedical Computing

These are few frames of example videos BeQuanti is able to process. You can download an example video for testing the software.

 
Human primary lymphocytes
Morrow-derived murine macrophages
Human primary monocytes
Human primary lymphocythes

Applications

BeQuanti is designed to assist laboratories of pharmaceutical and biotechnology industries, universities and government research institutions in the study of cell trafficking and in particular phenomena related to the leukocyte recruitment.

 Examples of applications are the following:

  • Quantitative analysis of cell adhesion underflow, including characterization of:
    • selecting-mediated tethering and rolling adhesions
    • integrin-mediated arrest
    • post-arrest adhesion stabilization
    • morphology of adherent cells
     
  • Screening of anti-adhesive compounds
  • Quantitative analysis of pro-adhesive signal transduction mechanisms
  • Quantitative analysis of migration under-flow

Principle of Operation

BeQuanti is based on state-of-art techniques for video analysis and machine learning. An advanced pattern recognition engine is trained to detect, track and classify cells as efficiently as the human eye, in a context of continuous shape and position variation.

Software Features

Supported Operating Systems
Windows XP/7/8/8.1, Mac OS
Classification Automatic detection of cells with diameter [10-70] pixels 
Events: tethering, rolling, sub-rolling, arrest for x second
Morphology: round, polarized, spread
Quantification Cells and events counting
Speed and duration of rolling and sub-rolling
Flexible configuration All behavior parameters can be set and modified by user
Statistics and inspection of results Graphs, table and statistics show the results at different level of abstraction
Specific results can be analyzed and verified through overlay on the original video
Error estimation Each phase of the processing provides a reliability measure
Batch mode Multiple analysis can be done in batch mode
Speed The processing supports multiprocessor and multi-core architectures
Video input formats It supports different input video AVI, DV, MOV with no restrictions on resolution and the frame rate
Data export Estimated data can be exported as CSV files

For further information about BeQuanti please contact This email address is being protected from spambots. You need JavaScript enabled to view it. .

 

Purchase

To request a quote or place an order please contact This email address is being protected from spambots. You need JavaScript enabled to view it.

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