Tired of manually identifying organisms in water samples?
Stingray automatically finds organisms based on flexible analysis criteria, extracts morphological parameters of discovered objects, and uses powerful machine vision algorithms to identify and group objects into taxons.
Stingray can be used to analyze offline holograms, or to obtain holograms from camera in real time to monitor aquatic environment for the specific species of interest.
Full volume (300 slices) can be analyzed in less than 30 sec.
Once trained, software can monitor the aquatic environment for the presence of the specific species, providing the number of organisms discovered.
With powerful database system incorporated, Stingray can store and retrieve hundreds of thousands of images fast. You can specify the time period of the data, or species of interest.
Over 20 morphological parameters for each discovered organism are automatically calculated and stored in the database.
Powerful convolutional neural network classifies images into taxons automatically.
Microsoft Windows 7 64-bit or newer
Live Volume Analysis
– Reconstruct, find objects in focus, extract morphological parameters, classify
– Full volume analysis (300 slices) in less than 30 sec
Offline Analysis (analysis of stored holograms)
– Full analysis of previously saved holograms
Data grid view:
Show thousands of images stored in the database
Display morphological parameters and metadata for each object
Powerful machine vision algorithms for automated classification
– Select representative samples to train the classifier
– Once classifier is trained, use it to sort images of organisms and assign specific taxons to them
– Edit, add, delete taxons in the database
Image size: 2048 x 2048, advanced camera controls
Remote camera control via TCP/IP networks with Remote Control Utility