Our Mission
Effective automation of microalgae monitoring and providing up-to-date data for the control loop.
Automated Cell Counting
Cell counting by Holodetect requires minimal sample preparation.
Holodetect also provides accurate count estimates for cells in large conglomerates. Accuracy of the cell count has been validated against conventional counting methods.
Morphologic properties of different cell types and their distribution can also be measured and plotted.
Fluorescence Measurements
Holodetect also combines Digital Holographic and Fluorescent Microscopy for higher accuracy and further measurement options.
By measuring fluorescence intensity on cell or sample level, the chlorophyll content of the cells and the sample can be estimated.
Based on their fluorescence levels, or using proper staining, living and dead cells can also be reliably distinguished by Holodetect.
AI based classification
Holodetect uses Deep Learning models for object focusing, segmentation and classification. These models can flexibly be retrained for classifying and counting various species.
Beside monocultures, cells in co-cultures can also be separately classified and counted.
Our few-shot learning module enables on-site retraining by the user in a matter of minutes
