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Corning Cell Counter

An automated platform for precise, consistent cell counting and analysis using advanced optics and deep-learning image analysis.

Solution by Axion BioSystems
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Overview

The Corning Cell Counter is designed to enhance automated cell counting through superior accuracy, flexibility, and consistency when compared to manual methods. It efficiently analyzes cell concentration and viability with advanced optics and deep learning-powered image analysis, capable of measuring cell number and size distributions, evaluating cell health, or quantifying organoids and measuring their size.

This platform offers a low-cost, high-tech solution for fast, automated cell counting. Innovatively utilizing deep-learning software, it significantly reduces user-to-user variability, enhancing accuracy and reproducibility even for complex samples. In addition to standard cell counting, it allows users to quickly assess viability using Trypan Blue and measure organoid size distribution.

  • Ease of Use: The device is easy to set up and requires no calibration, making it maintenance-free and ready for quick implementation in any lab.
  • Flexibility: It works with common, reusable hemocytometers without the need for additional consumables.
  • Advanced Software: Includes two software modules tailored to assay needs—brightfield for cell concentration, size, and viability measurement, and deep-learning algorithms for organoid analysis.

Its requirements include a desktop or laptop operating on Windows 10 or above, with a USB3 port and internet connectivity via WiFi or Ethernet for accessing the Axion Portal for image analysis and storage. The device is user-friendly, easy to clean using lint-free wipes with ethanol or isopropyl alcohol, though autoclaving and acetone are not recommended.

Related applications extend to measuring cell concentration, size, and viability for single-cell or organoid cultures, catering effectively to diverse research needs.

Meta

Category
Imaging & Digital Pathology
Field(s)
Imaging & Diagnostics
Target user(s)
Bench Scientist / Lab Technician
Tag(s)
Digital Pathology / ImagingAI