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TECHNOLOGY

Colony Count Image Processing Technology
※ Joint Patent-Pending

Colony count image processing
Uses a count technology that combines the existing image processing
and the new technology machine learning (deep learning).
It may cause a count error of approximately 8% in some images.

Technology and System Integration Supported
by Hitachi Solutions, Ltd.

IMAGE PROCESSING / 01

Region
Extraction

Detects the region to count by image processing

[ Output ]

Information of images including

  • - Region of circular petri dish
  • - Region of product tag
  • - Contrast
IMAGE PROCESSING / 02

Colony Candidates
Extraction

Extracts the region of colony candidates by image processing (Detects the non-colony region)

[ Output ]

Candidate regions including

  • - Colony
  • - Diffused colony
IMAGE PROCESSING / 03

Colony Candidates
Determination

Determine the count of colony candidatesusing the machine learning technologies (SVM*1, CNN*2)

[ Output ]

Information of images including

  • - Count: 0
  • - Count: 1
  • - Count: 2
  • - Count: 3

Calculates the total count of identified colonies

  1. *1. SVM (Support Vector Machine): Identification algorithm that learns the samples of multiple groups and distinguishes them
  2. *2. CNN (Convolution Neural Network): Makes a multilayered connection of the neural network of human brain and uses it for learning and determination.