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.
Holodetect enables rapid, AI-enhanced, fully automated cell counting and classification.
Holodetect devices are automatic volumetric microscopes featuring flow-through measurement cuvettes with depths ranging from 100 to 10,000 microns to accommodate different magnification needs. Leveraging the power of digital holographic microscopy, Holodetect captures the entire sample depth in a single image, eliminating the need for optical refocusing as it is done numerically post-recording. This technology allows for reconstructing all sample objects from the recorded hologram with minimal sample preparation.
The analysis of reconstructed images is powered by advanced artificial intelligence. These AI models are highly adaptable and can be trained to identify various species and objects within the sample accurately. Additionally, our holographic microscope can be integrated with fluorescent microscopy to enhance classification precision and conduct a variety of fluorescence-based measurements. This synergy between technologies ensures comprehensive sample analysis with unparalleled accuracy.
Holodetect Instruments Ltd. is a spin-off company of HUN-REN SZTAKI, a research institute with the fundamental task of performing basic and application-oriented research in an interdisciplinary setting in the fields of computer science, engineering, information technology, intelligent systems, process control, wide-area networking and multimedia.
Holodetect devices are developed in collaboration with the Computational Optical Sensing and Processing Laboratory of HUN-REN SZTAKI. Our team’s main R&D focus is the development of digital holographic and fluorescent microscopes with applications, among others, in water utilities, microalgae, and beer brewery industries.
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