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Multi-mode In Vivo Animal Imaging System
Multi-mode In Vivo Animal Imaging System
Place of Origin:
China
Brand:
Biolight
Model:
AniView100
Price:
Hits:
77 
Updated:
10/22/2024
  • Product Detail
  • Company Profile

    Overview
    AniView 100 is a high-sensitivity multi-modality animal in vivo imaging system fully self-developed by Biolight Biotechnology Co. Based on the previous generations of AniView with only high-sensitivity bioluminescence imaging performance, it has been further optimized to add fluorescence imaging performance, making AniView 100 a multi-modality animal in vivo imaging platform with both high-sensitivity bioluminescence and fluorescence 2D imaging.

    The AniView 100 can be upgraded with X-Ray imaging module, upconversion module and other functional modules to enable a variety of imaging assays for mice, rats and other laboratory animals, such as, bioluminescence imaging, fluorescence imaging, X-Ray imaging and Cherenkov imaging.
     

    Features/Benefits
    • Research grade highly sensitive back-illuminated cooling CCD
    • Magnetic suction type protective door, fully sealed imaging light-tight cabinet
    • Simplified and high-efficiency upgrading method, modularity of application functions, no need to return to the factory to complete the upgrade. (Optional Module)
    §  Gas anesthesia module
    §  X-ray imaging module
    §  Upconversion fluorescence imaging module

    §  Cell marker identification module
    • Breathing light LOGO, real-time reflection of the instrument operating status
    • Up to 30 high-quality filters for imaging most fluorescent probes
    • Fully self-developed operating software, simple and easy to use operation process, to bring users a better experimental operating experience.
     

    Specifications
    Light Source Narrow bandwidth LED light source, life time>50000 hour
    Filters Light transmittance≥95%, cut-off depth: OD7
    Excitation Filter Standard sets
    Two filters per set: 430/465/500/535/570/605/640/675/710/745nm , Bandwidth 30nm
    Emission Filter Standard: 500/520/540/560/580/600/620/640/660/680/700/720/740
    /760/780/800/820/840 nm, bandwidth 30nm
    Cell marker luminescence detector Detector: Ultra-sensitive PMT
    Sensitivity: ≤10 amolATP or ≤20 zmolluciferase
    Dynamic Range: ≥ 7
    Carrier Table Z-axis automatic lift, 20℃~40℃ adjustable
    Size 1100mm x 520mm x 546mm (H x W x D)
    Weight 75KG

    bio-equip.cn
    Guangzhou Biolight Biotechnology Co., Ltd. is in Senruichun Biotechnology Park, Guangzhou Science City. Focus on the development of high efficiency receiving and identification technology for photon signals, and apply this technology to the fields of life science research, environmental quality monitoring, medical diagnostic services and other fields. Integrating research and development, production and service, it is one of the very few professional companies in the world that can provide a series of professional optical imaging system.

    The company adheres to the concept of "scientific and technological innovation, leading quality and serves the public" and continuously develops its own research and development strength. Establish long-term and stable technical cooperation with research institutes such as Sun Yat-sen University, South China University of Technology, Manufacturing Engineering Research Institute of Huazhong University of Science and Technology of Dongguan. At the same time, a high-level R & D management team composed of multiple doctoral and graduate students has also been established and has continuously made breakthroughs in the field of biological experimental equipment.

    Since the establishment of the company, it has successfully developed and listed a number of products with independent intellectual property rights and obtained a number of patent certificates. The company has passed the certification of “Science and Technology Innovation Giant Enterprise” in Guangzhou in 2015. Through its continuous efforts, the company passed the first batch of "high-tech enterprises" in Guangdong Province in 2017.
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