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Composition and working principle of live cell scanning analyzer
Date: 2025-12-09Read: 0
A live cell scanning analyzer is a device that integrates multiple advanced technologies for real-time monitoring and analysis of the status and behavior of live cells. The following is a specific introduction to its composition and working principle:
1、 Equipment composition
1. Optical imaging system: adopting an inverted microscope structure, integrating phase contrast condenser, high numerical aperture objective lens, and high-sensitivity camera (such as CMOS/sCMOS sensor), supporting multiple imaging modes such as bright field, phase difference, fluorescence, etc. Some models are equipped with super-resolution technology (such as SIM/STED) or holographic imaging modules, which can achieve sub micron resolution and label free 3D reconstruction.
2. Automation control module: including electric objective lens switching, electric stage (with a stroke of up to 115 × 75mm), autofocus system (far-infrared laser recognition focal plane), and programmed operation interface, supporting custom scanning area, time interval, and continuous imaging of porous plates.
3. Environmental maintenance unit: Built in constant temperature and humidity control system (temperature ± 0.5 ℃, humidity ± 5% RH), suitable for CO ₂ incubator environment; Adopting low phototoxicity design (such as GR fluorescent light source+intelligent field of view aperture) to reduce the impact of long-term observation on cell activity.
4. Intelligent analysis software: integrates AI algorithms to achieve functions such as cell counting, fusion degree analysis, scratch healing rate calculation, and can generate growth curves, dynamic videos, and statistical charts. Deep learning models can also assist in identifying cell cycle stages or apoptotic features.
2、 Working principle
1. Optical imaging and signal acquisition: By using multi-channel LED light sources to excite specific wavelength fluorescence (such as DAPI/GFP/Exas Red), combined with filter separation of emission spectra, cell morphology and molecular marker information can be captured. The high-speed camera records the dynamic process at a maximum speed of 40 frames per second, and is used in conjunction with Z-axis layered scanning to achieve 3D reconstruction.
2. Non invasive sensing technology: Some devices use microelectrode arrays to detect impedance changes caused by cell attachment, convert physiological activities into electrical signals, and quantify proliferation rate and survival status. This type of technology can continuously monitor without staining and is suitable for scenarios such as stem cell amplification quality control.
3. Automated process management: Pre set experimental templates can initiate panoramic scanning or time-lapse photography tasks of porous plates with one click, and the system automatically calibrates exposure parameters and tracks selected areas. The remote control function allows real-time viewing of data through the network, reducing the risk of pollution caused by human intervention.
4. Data processing and visualization: The original image is denoised and segmented to extract single-cell contours, and parameters such as area and migration trajectory are calculated. Time series data generates dose-response curves or differentiation trend charts, supporting intuitive comparison of drug screening results.