LabCellCount

LabCellCount overview
Image analysis
Neural network classifier
Results
Download LabCellCount

LabCellCount overview

  • LabCellCount is an image analysis environment designed to fully automate the processing of images of organisms, cell colonies or particles.
  • LabCellCount has been optimized for efficient and consistent analysis of macroscopic or microscope images.
  • LabCellCount can recognize and classify particles according to shape using an integrated trainable neural network classifier.

Features:

  • Integrated trainable neural network classifier
  • Interactive facilities for viewing results and setting parameters
  • Automatic analysis of multiple images (batch mode)

To read more open the LabCellCount manual

LabCellCount is tuned to analyze images of cell cultures, organisms or particles, but its open architecture allows easy adaptation to other similar applications.

LabCellCount has interactive facilities for viewing the results of the different stages of image processing, for setting parameters, and for training the internal neural network classifier. Classification of shapes is based on contour.

LabCellCount can automatically handle a large number of images, and save the results on the computer. The programs work on 8 or 16 bit grey-scale images.

Bioras, Munkegårdsvej 6B, DK-3490 Kvistgård, Denmark, tlf. +45 46938088, mobile +45 22678812, e-mail: