GridMos

GridMos performs automated high-resolution mosaicing and color-tagging of hemocytometer images for reliable cell counting and live/dead viability assessment.

Key Features:

• High-Resolution Mosaicing: Fully automated mosaicing captures multiple hemocytometer grid images and integrates them into a single high-resolution mosaic.
• Improved Counting Reliability: The complete mosaic representation reduces variability associated with manual hemocytometer counting.
• Color Tagging for Cell Differentiation: Supports marking live and dead cells with distinct color flags to distinguish viable from non-viable cells.
• Enhanced Statistical Analysis: Provides a complete view of the sample that enables more extensive statistical analysis of cell populations.
• Reproducibility and Repeatability: Experimental validation reports increased reproducibility and repeatability of cell counts versus traditional manual methods.

Scientific Applications:

• Microbiology: Accurate hemocytometer-based cell counts for microbial culture assessment.
• Cytology: Quantification of cell numbers and viability in cytological studies.
• Biomedical Research: Cell counting and viability assessment across various biomedical research areas.
• High-Throughput and Large-Scale Studies: Support for experiments and studies that require consistent, reproducible cell counts at scale.

Methodology:

Automated image mosaicing captures multiple hemocytometer grid sections and stitches them into a single high-resolution mosaic; the mosaic is then annotated (tagged) to mark live and dead cells with distinct colors for counting and viability assessment.