Since 2018
Guangzhou Newtonoptic Research Institute Co., Ltd.
Focus on the application of intelligent imaging technology in the field of life science
Guangzhou Newton Optical Research Institute Co., Ltd. is located in Tianhe, Guangzhou. It is an innovative enterprise focusing on the application of intelligent imaging technology in the field of life science. The company focuses on the field of cell analysis and has established a sound R & D, production and sales system.
The company has successively obtained the national high-tech enterprise, medical device production registration certificate, ISO9001 and other qualifications. In June 2023, the "Automatic Multi-channel Cell Fluorescence Analysis System" project won the first prize of the National Science and Technology Infrastructure Platform Center.

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Fast and accurate cell detection solutions for different biological fields
3D bioprinting is poised to become a key technology for future organ manufacturing, and one critical factor for successful organ 3D printing is the use of high-concentration, high-viability cells. The fully automated fluorescence cell counter Tuger is employed to analyze cell samples before bioprinting and cells within the printed three-dimensional models. This analysis is of significant importance for producing high-quality 3D models and evaluating the impact of the 3D bioprinting process on cell viability.
A cell thawer is a laboratory device used for the rapid and safe thawing of cryopreserved cell samples. It is widely applied in fields such as cell culture and biopharmaceuticals. Its core function lies in precise temperature control and programmed operation, which help to maximize cell viability during the thawing process while avoiding contamination or temperature fluctuation-related damage that may occur with traditional water bath methods.
During the transfection experiment, the GFP gene was linked to the target gene and introduced into the target cells, resulting in co-expression of GFP and the target gene. Due to the fluorescent properties of GFP, the fluorescence signals in these cells can be detected using a fluorescence microscope or a fluorescence cell analyzer. By observing and counting the cells exhibiting green fluorescence, the expression and activity level of the target gene in the cells can be indirectly assessed.
The AO/PI dual-fluorescence staining method distinguishes live and dead cells by using two fluorescent dyes: acridine orange (AO) and propidium iodide (PI). AO can penetrate intact cell membranes and binds to the DNA and RNA of live cells, causing them to emit green fluorescence. PI can only enter dead cells with compromised membranes, where it binds to DNA and emits red fluorescence. This method helps to exclude impurities and debris from the cell samples, enabling accurate assessment of cell viability.
Cell research is critical across multiple fields, where precise calculation of cell count and viability is a key of step. According to GB/T42076.1-2022, both the hemocytometer method and image analysis method are current national standard methods for cell counting. The efficiency of cell counting (usually measured by the time taken per sample), accuracy (typically benchmarked against manual counting), and reproducibility (commonly evaluated by the coefficient of variation, CV, from multiple measurements of the same sample) are essential parameters for cell counting devices. Newtonoptic cell counter utilizes automated image acquisition combined with proprietary algorithms to deliver test results such as cell concentration and viability within one second, providing highly reproducible data. This enables users to rapidly obtain accurate experimental data.

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2025/02/13
[Company News] Newton Optics' 2024 Annual Year-End Meeting has successfully concluded!
2025/01/23
[Company News] The R&D Department's 2024 Annual Summary Meeting was successfully held.
2022/12/23
Newton into the world of cosmetics
2023/01/11

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E-mail:global@newtonoptic.com
R & D Center: Room 301, Floor 1, Building 1, No.38 Gaopu Road, Tianhe District, Guangzhou City, Guangdong Province

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