1. Intelligent Recognition

Combining advanced software and deep learning-based intelligent 

recognition algorithms, it achieves automatic focusing, automatic 

exposure, eliminates complex parameter settings，and minimizes 

operational variability between users to the greatest extent.

2. Diameter Adjustment

With adjustable diameter range for cell screening, enabling separate 

counting of mixed cells of different sizes.

Touch screen operation, simple and convenient.

2.Predefined multiple experiment types

The experimental process adopts a one-click mode and presets the typesof experiments such as Trypan

 Blue and AOPI , which simplifies manualoperation steps and improves experimental efficiency.

3. Rapid Counting

Achieving industry-leading speeds:

Trypan Blue Staining: ≤ 8 sec/sample 

Brightfield Analysis: ≤ 8 sec/sample 

AO/PI Dual Fluorescence: ≤ 35 sec/sample

1. High ResolutionImaging

6MP RGB CMOS

10x standard object

NA 0.25

Enables clear visualization of individual cells and cell clusters with direct visual confirmation of counting accuracy.

2. Deep Learning-Based Intelligent Recognition Algorithm

The algorithm captures sharp cell contours and effortlessly distinguishes cell clusters. Integrated with 

intelligent segmentation, it precisely resolves aggregated cells to achieveenhanced analytical accuracy. 

Recognition repeatability (Coefficient of Variation, CV) <5%, deliveringaccurate and consistent cell counting 

results.

3. Statistical analysis of large sample size cells

It can support imaging statistics for 6 samples with 3 fields of view eachat a time, which is statistically 

consistent and guarantees data accuracy.