A function that processes a set of inputs and results in a set of outputs, or associates arguments (inputs) with values (outputs).|Special cases are: a) An operation that consumes no input (has no input arguments). Such operation is either a constant function, or an operation depending only on the underlying state. b) An operation that may modify the underlying state but has no output. c) The singular-case operation with no input or output, that still may modify the underlying state.

Computational procedure
Computational subroutine
Computational operation
Function (programming)
Lambda abstraction
Mathematical function
Mathematical operation
Computational method
Computational tool

The tool allows to measure the area of the invading spheroïd in a 3D cell invasion assay. It can also count and measure the area of the nuclei within the spheroïd.

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ZEN and APEER – Open Ecosystem for integrated Machine-Learning Workflows

Open ecosystem for integrated machine-learning workflows to train and use machine-learning models for image processing and image analysis inside the ZEN software or on the APEER cloud-based platform

Highlights ZEN

  • Simple User Interface for Labeling and Training
  • Engineered Features Sets and Deep Feature Extraction + RF Forrest for Segmentation
  • Object Classification workflows
  • Probability Thresholds and Conditional Random Fields
  • Import your own trained models with support for TensorFlow2 and ONNX
  • Integration into ZEN Measurement Framework
  • Support for Multi-dimensional Datasets and Tile Images
  • open and standardized format to store trained models
ZEN Intellesis Segmentation

ZEN Intellesis Segmentation - Training UI

ZEN Intellesis - Pretrained Networks

ZEN Intellesis Segmentation - Use Deep Neural Networks

Intellesis Object Classification

ZEN Object Classification

Highlights APEER

  • Web-based tool to label datasets to train Deep Neural Networks
  • Fully automated hyper-parameter tuning
  • Export of trained models 
APEER Annotation Tool

APEER Annotation Tool