Revolutionize biotechnology and In Vitro Diagnostic (IVD) manufacturing with SunBio IT Solutions (Bengaluru, Est. 2012). Our advanced computer vision platforms analyze 15, and 45 cell sample images to deliver precise animal growth telemetry and health reports.
An AI Cell Plate Analytics Engine is a specialized computer vision software developed by SunBio IT Solutions that automates microscopic cell sample size analysis, cell counting, and animal growth prediction for IVD biotech laboratories using custom-trained CNN image annotation and YOLO object detection models.
Advy is an indigenous and innovative pioneer in the development of polyclonal antibodies, native human antigens, and finished reagents in the In Vitro Diagnostic (IVD) industry. Supported by dedicated goat farms and expert veterinary teams managing immunization and plasmapheresis, efficient production ensures a steady supply of quality antibody products.
SunBio's Cell Plate Analytics Engine integrates seamlessly with these operations by utilizing state-of-the-art CNN image annotation and YOLO object detection models. By processing complex biological cell plate images (15, and 45 cell layouts), our software predicts animal growth patterns and generates comprehensive health telemetry reports.
A streamlined 4-stage neural pipeline ensuring accurate image processing, sample size evaluation, and growth forecasting.
Securely upload 15, or 45 cell plate sample images into the AI analytics platform.
Convolutional neural networks and precise bounding box annotations isolate individual cell targets.
High-speed object detection models evaluate cell sample size and morphological density.
Generates actionable analytical reports predicting animal growth trends and health metrics.
Integrating deep learning into biological farm management eliminates manual counting errors and ensures consistent high-volume antibody production workflows.
Empowering IVD manufacturers, biotechnology research labs, and specialized animal healthcare facilities.
Optimize polyclonal antibody yields by maintaining strict quality control over biological cell samples.
Monitor immunization cycles and biological responses across specialized livestock farms with high precision.
Automate microscopic cell evaluation using advanced computer vision to eliminate manual counting bias.
Forecast development milestones and health trajectories based on regular uploaded image telemetry.
Support customized biopharmaceutical outsourcing operations with standardized AI diagnostic reporting.
Maintain searchable digital archives of all cell plate analyses and historical growth records.
Common technical queries regarding SunBio's Cell Plate Analytics and AI vision software.
The platform natively supports standard 15-cell and 45-cell sample plate layouts used in biotechnology and In Vitro Diagnostic (IVD) workflows.
YOLO (You Only Look Once) models enable real-time bounding box identification and counting of cells across microscope imagery, eliminating human counting fatigue and errors.
Yes, SunBio IT Solutions builds custom enterprise software and APIs that integrate seamlessly with existing laboratory information management systems (LIMS) and databases.
You can request a tailored demonstration by contacting SunBio IT Solutions directly through our connect page or messaging our engineering team via WhatsApp.
Partner with SunBio IT Solutions in Bengaluru to deploy bespoke computer vision systems tailored to your exact operational requirements.
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