The live cell imaging system can be placed in a CO₂ incubator to build an experimental center inside the incubator. It is used for microscopic scanning and observation of the real-time culturing process of live cells and for the absolute quantification of cells. During the entire culturing period, real-time data about cell growth can be remotely obtained. The artificial intelligence analysis system within the live cell imaging system can be used to calculate the cell number and confluence. Compared with traditional cell culture methods, it can save a large amount of costs in terms of both time and economic resources. It enables researchers to understand the health status, morphology and function of cell models more efficiently and dynamically.
1.Compact Structure, Space Saving
The Live Cell Imaging System can be placed in the incubator together with the culture vessels to monitor the growth status of cells at multiple sites in real time, reducing the risk of contamination caused by repeated movements.
2.Simple Process Management
A Live Cell Imaging System employs a process management model from the establishment of the observation project to the export of data. The operation interface of the Live Cell Imaging System is simple and user - friendly, truly making cell observation simpler.
3.Anytime Anywhere, Remote Viewing
CellScan constructs a local area network by means of a router and transmits data to the cloud server. Users are able to log in with their cloud platform accounts for remote browsing and can obtain images and quantitative data of the Live Cell Imaging System at any time and in any place.
4.AI-Driven, Real-Time Quantification
The Live Cell Imaging System has several built-in cell models. These models enable the easy recognition of the shapes of specific cell types when the cell states are changing in it. It can automatically calculate cell counts and confluence in real-time. Methods based on machine learning in it let users manually label cellular and non-cellular areas. This way, specific analysis models can be built for fusion analysis in it. It can also automatically count cells, cell confluence and colony numbers. Based on the data obtained by it, curve graphs and scatter plots can be generated.
Application
1.Cell proliferation & Cell viability
Cell count, cell viability, apoptosis, cytotoxicity
The degree of cell confluence is directly related to cell proliferation and activity. Starting from the cell fusion curve, the Live Cell Imaging System can evaluate the impacts of various variable factors such as different culture factors, serum concentrations or drug toxicity.
2.Cell Movement & Interactions
Scratch migration, cell phagocytosis
In the scratch assay, the Live Cell Imaging System records the changing movement of cells in the scratch area and analyzes the ability of cells in different variable groups to migrate and invade the scratch area without labeling.
3.Stem Cell Research
Stem cell differentiation, neuronal growth, iPSC reprogramming, angiogenesis
This system can be used to record the morphological changes and growth characteristics of stem cell differentiation or cloning for a long time.
4.3D cells culture
Cell sphere formation, tumor sphere invasion, organoid culture
The Live Cell Imaging System can be used to monitor and quality control the occurrence of cell spheres or organoids, visualize 3D cell growth and development, and effectively evaluate the optimal growth conditions.
Customize Imaging Parameters
1.Multipoint imaging: The Live Cell Imaging System allows you to customize the sites to be monitored based on the areas of your interest, or use its simple and fast preset imaging templates for imaging operations.
2.Focus mode: The autofocus mode uses artificial intelligence to identify the best field of view, and can still obtain the clearest image in long-term monitoring experiments. The manual focus mode can customize the focus height of each observation point.
3.Brightness adjustment: Auto/manual exposure.
4.Monitoring time interval: The shortest time interval can be set to 5 minutes.
Control The Critical Nodes
For downstream experiments including cell passaging and transfection, which need an accurate assessment of cell confluence, users have the option to set their own confluence thresholds and can also select to receive notifications via email or SMS.
Compatible with various culture vessels
The Live Cell Imaging System can be used with culture dishes, culture bottles, multi - well plates and multi - layer cell factories. It is also compatible with over 30 different brands and more than 600 types of culture consumables.
Autofocus, maintain optimal view
The Live Cell Imaging System conducts imaging by using an AI - driven intelligent recognition algorithm. This algorithm is capable of capturing the optimal height point for focus and can keep the field of view at its clearest state throughout long - duration experiments that may last for days, weeks, or even months.
Auto-Recognition, Real-Time Analysis
With non-invasive analysis methods, the advanced AI algorithms of the Live Cell Imaging System can automatically recognize cells and cell clusters. They can quantify the cellular areas on the container surface and count the number of cells and the degree of fusion in real time. At the end of the project, time-lapse videos, scatter plots of cell count, and confluence curves will also be generated.
Comparative data analysis
By comparing the data of monitoring sites on the same or different devices, the Live Cell Imaging System makes it easier to conduct growth curve analysis between duplicate wells and among various experimental treatment factors.
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