Leap-Count 100/100A cell counter
The Leap – Count 100/100A cell counter relies on advanced optical imaging technology and intelligent image recognition technology. It can provide a full range of cell – related information such as cell concentration, live and dead cell viability, mean cell diameter, mean roundness, and clumping rate. All data results are automatically stored and can be output in a variety of formats to meet the requirements of the experiment.
The Leap – Count 100 is designed as an all – in – one computer and requires no connection to a computer. It has a 10.1 – inch display with a screen angle that can be adjusted according to usage habits, providing high – quality cell images with a resolution of up to 1920×1200. The Leap – Count 100A can be connected to a computer and is smaller, saving valuable laboratory space.
Leap-Count 100:
Built-in 512 G storage
10.1-inch display screen
Analysis time <8 s
Leap-Count 100A:
No built-in storage
PC connectable
Analysis time <2 s
Feature:
01: Automatic Focusing and Precise Counting
No other operation is required when cell counting starts. Leap-Count 100 / 100A will automatically adjust the focal length and light intensity, focus and accurately count. The instrument can also be manually focused to meet various customer needs.
02: AI Intelligent Algorithm Accurate Recognition
Based on AI deep learning algorithms, Leap-Count 100 series has self-developed feature extraction algorithms,which can effectively highlight and accurately extract high-dimensional image features of multiple types and states of cells, accurately identify the number of cells in suspension under complex scenarios, such as high concentration, low particle size, background interference,
aggregate cells (aggregate cell clusters), etc., to meet the needs of different varieties of cell samples.
The neural network can be customized to develop and analyze based on customer’s specific samples, providing effective solutions for personalized R&D.
03: Aggregate Cell Recognition
Leap-Count 100 / 100A has advanced algorithms to accurately circle aggregate cells and account for the aggregate.
04: High Detectable Concentration
The maximum counting concentration can reach 1×108/mL.
05: Only 10 μL for a Single Sample
Only 10 μL is required for a single well per assay, and only a small amount of sample is needed for overall analysis.
06: General Consumables
The instrument is suitable for various standard 2-well counting slides on the market, enabling precise focusing and accurate readings.
07: Easy-to-Use Software
Graphic software operation, more intuitive interface. The built-in dilution calculator can calculate the required volume of the original sample based on the current sample
concentration. The cell size histogram can display the average diameter of the current sample and the number of cells corresponding to each diameter. It is also possible to
select data to form growth curves, detect changes in cell proliferation and support multiple groups of data for comparison.
08: Large Storage Capacity and Multiple Export Formats
Leap-Count 100 has 512 G of memory and can store 70,000 pieces of data. Support export to PDF, XLS, JPG, TIFF, PNG, etc.
Spec:
| Model | Leap-Count 100 | Leap-Count 100A |
| Measuring diameter range | 3-60 μm | 3-60 μm |
| Concentration range | 1×104-1×108/mL | 1×104-1×108/mL |
| Sample detection volume | 1 | 1 |
| Analysis time | ≤8 s | ≤2 s |
| Detect optimal cell concentration range | 1×105-1×107/mL | 1×105-1×107/mL |
| Cell viability detection range | 0-100 % | 0-100 % |
| Detection accuracy | CV<5 % | CV<5 % |
| Required sample volume | 10 μL | 10 μL |
| Objective magnification | 3 x | 3 x |
| Imaging element | 6 megapixel CMOS camera | 6 megapixel CMOS camera |
| Working temperature | 10-40 °C | 10-40 °C |
| Working humidity | <80 % | <80 % |
| Consumables | Cell counting slide, 0.4 % trypan blue | Cell counting slide, 0.4 % trypan blue |
| Built-in storage | 512 G | \ |
| Screen | 10.1-inch, 1920×1200 resolution | \ |
| Data export format | PDF, XLS, TIFF, PNG, JPG | PDF, XLS, TIFF, PNG, JPG |