VOLUMETRIC IMAGING,
AI BASED, FULLY AUTOMATED CELL COUNTING AND CLASSIFICATION
We wish to thank all our current and future partners who visited our stand at AlgaEurope 2024 in Athens for their interest and constructive feedback. This was a great experience and these interactions further strengthened our confidence that our current strategy of developing fully automated in-line devices is future-proof. We are looking forward to attending AlgaEurope 2025 in Riga.
Holodetect sensors and instruments utilize Digital Holographic Microscopy (DHM) and artificial intelligence to automatically analyze volumetric liquid samples, detecting, classifying, and counting objects, cells, and microorganisms in the 3-400 micron range.
Holodetect DHMs are well-suited for inline, automated cell count measurements by predefined classes. In monocultures, Holodetect can distinguish cells from other objects in the sample (such as debris or small particles). In multi-species cultures, it provides cell counts by species. It also gives an accurate estimate of cell counts in cell conglomerates and measures detailed cell morphology, including cell size and shape parameters. Using the built-in fluorescence microscope, it can measure autofluorescence and estimate chlorophyll (or other autofluorescent molecule) content. With appropriate labeling, living and dead cells can be counted separately.
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