AI SOLUTION DEVELOPMENT FOR OBJECT DETECTION

Model training and detection - on pixels or objects

TRI-Genotoul develops and applies artificial intelligence tools, such as deep learning or machine learning, for the recognition, identification and analysis of biological events. These approaches enable identification at different levels, from the coarsest (pixel segmentation) to the finest (object segmentation).

The services offered range from the implementation of existing solutions to the bespoke training of new models.

Booking

Services

  • Semantic pixel segmentation from photon imaging data
  • Pixel-level semantic segmentation from electron microscopy data
  • Object instance segmentation from photon imaging data
  • Object instance segmentation from electron microscopy data
  • Supervised gating or unsupervised analysis of multiparametric cytometry data
  • Custom training of AI models for pixel or object segmentation

Access method

  • With assistance
  • Formation
  • Collaboration
  • As service delivery

Software Resources

Software

Version and options

Tray(s)

Aivia

Artificial intelligence-guided image analysis and visualisation solutions

FR AIB

Amira

Advanced biological image analysis – Cell Biology pack

CMEAB, Restore

Flowjo

Advanced data analysis for flow cytometry

Infinity, IPBS, Restore

Harmony

Visualise and analyse 2D/3D images from High-Content Imaging

Restore

HCImage

Data Analysis from High-content Imaging

IPBS

Imaris

AI Microscopy image analysis with Full package and Imaris batch // Imaris for Neuroscientists // Imaris for Cell Biologists + FilamentTracer

CBI, Infinity – CHU Purpan, IPBS, Restore

Infinicyt

Analysis, integration and interpretation of multivariate flow cytometry data

I2MC

MATLAB

engineering applications for data analysis, signal and image processing and data computing

Restore

OMIQ

Visualise and analyse data from flow cytometry

Infinity – CHU Purpan, I2MC

Booking