By using high-definition stitching technology based on our proprietary image processing and image analysis technologies, clear bright-field images can be obtained even at high magnifications. It is especially suitable for applications such as cloning, which requires accurate cell counting.
Changing the future of cell research
Imager for cells cultured in 2D/3DCell3iMager NX
- Object lenses from 2x to 40x can be mounted
Wide range of cell observation is possible. - Equipped with high-definition stitching function.
Clear bright-field images can be acquied. - Stage top incubator can be mounted.Support for culture monitorring.
Workflow
Cell3iMager NX offers High-Speed, High-qualityimage acquiring andquantitative data analysis with all-in-one software package.
Feature
Clear bright-field image the entire well even at high resolution
Accurate quantitative analysis with high-definition stitching technology
High-precision image processing technology makes it possible to measure accurately with virtually no discernible image seams.
Misalignment may occur at image joints, affecting accurate cell counts.
All-in-focus images optimal for 3D cultured cell analysis can be acquired
Multiple images are captured while varying the focus in the Z direction and combined into a single image Supports various SBS plate formats such as F-bottom, V-bottom, U-bottom, etc.
Designed a simple and intuitive GUI design Equipped with security-related functions
Imaging, measurement, and analysis can be performed on a single software package.
Useful security management functions such as database management, audit trails, and operation authority management.
Data can be output in various formats such as heat maps and scatter plots.
Option
Deep Learning Plug In
In the case of high-confluency and non-uniform images, it is difficult to segment by luminance shading and edge thresholding. For example, even in the case of overlapping images such as the one shown below, segmentation may be possible using Deep Learning.
Deep learning can be used for highly accurate segmentation of the following challenging image examples.
Multi-color Fluorescence
Supports multi-color fluorescence imaging.
Up to five fluorescent filters can be mounted simultaneously, enabling automatic bright-field/fluorescent four-color imaging.
Stage Top Incubator
Installing a stage-top incubator allows humidification and temperature and CO2 control.
Time-lapse function offers high resolution observation in fluorescence and bright field images in real time over days.
MCF7 was used to compare cell proliferation between incubator and
in-NX cultures.Simultaneously, an ATP assay was performed to quantify
viable cells and confirm that there was no difference between the two.
Automation
Cell3iMager NX can be integrated with automated incubator and robot handler to preform high
through-put workflow for various assays.
Application note
Proliferation monitoring of liver organoids
By performing bright field imaging of three-dimensionally cultured organoids and using deep learning, it is possible to segment each organoid shape. Label-free analysis may be able to replace the monitoring of the organoid growth process, which has been conventionally done by microscopic observation. Similarly, label-free analysis may be able to replace toxicity evaluations and FIS assays that have been performed using ATP assays and fluorescent staining.
Single cell cloning of CHO-K1 cells
O-K1 cells were seeded into 96-well plates by limiting dilution method
Bright field imaging and measurements were taken immediately
after sowing (Day 0) and periodically with a 10X lens.
Killing/ADCC Assay of NK cells
Segmentation of cancer spheroid areas in bright-field images and quantification of the area showed that the area decreased in an NK cell number-dependent manner.
Segmentation and quantification of the area of cancer cells in bright-field images showed that the area decreased in an NK cell number-dependent manner and that the area of HER-2 positive BT474 cells was reduced, enhancing NK cell injurious potential.