LabCellCount examples

Below some examples of organism or cell counts with LabCellCount are shown. Please let us know if you would like to test your application with LabTrack. A free trial license for LabTrack is available for download.

Examples of organism or cell counts with LabCellCount:

 Bacteria on a grid

The original image.

Classification of the organisms with the neural network classifier. The organisms have been classified as "Cell", or unknown particles "?" 

 Counting oand classifcation of bacteria

The result of the analysis is shown as a histogram: number of organisms (y-aksis), and their sizes here in pixels (x-axis). The total count in this example was 18 cells. 

Data are saved in table format which can be read by spreadsheets or databases.

Results shown in a histogram

Minimum and maximum countable particles sizes can be defined in the Results stage.

 

Fluorescent probe sample

 

The original image of a bacterial sample stained with Dapi.
Fluorescent proble

Classification of the organisms with the neural network classifier. The organisms have been classified as "Cell".

 Counting and classifcation of bacteria

The result of the analysis is shown as a histogram: number of organisms (y-aksis), and their sizes here in pixels (x-axis). The total count in this example was 21 bacteria. 

Data are saved in table format which can be read by spreadsheets or databases.

Results shown in a histogram
 

Counting of zooplankton (brine shrimp)

The original image.

Sizes of each organism are given. In this example the length of each organism is given in mm.

Choose between length, area, perimeter, elongation factor (length/width).
Classification of the organisms with the neural network classifier. The organisms have been classified as "Artemia", or unknown particles "?"

The result of the analysis is shown as a histogram: number of organisms (y-aksis), and their sizes in mm2 (x-axis). 

Data are saved in table format which can be read by spreadsheets or databases.

Counting of fish

Fish fry, orignal image

Identification and classification of the organisms with the neural network classifier. The organisms have been classified as "Fish", or unknown particles "?"

The result of the analysis is shown as a histogram: number of organisms (y-aksis), and their sizes here in pixels (x-axis). 

Data are saved in table format which can be read by spreadsheets or databases.

 

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Features

  • Counting of images of organisms, cells or particles
  • Efficient and consistent analysis of macroscopic or microscope images
  • Recognition and classification of particles according to shape

Additional information

Additional information is available in LabCellCount brochure and the LabCellCount manual.

Send us an image!

We are happy to analyse an image, and send a report of the results back. This will provide an opportunity to test if LabCellCount is suitable for your application!
 
Please contact us if you would like a free trial version, or if you have questions about LabCellCount.