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AI-based monitoring of cold shaking incubators is a growing area of research and development. However, there are currently no specific search results that provide information on AI-based monitoring of cold shaking incubators. Nonetheless, there are various shaking incubators available in the market that offer temperature and shaking control, as well as monitoring features such as temperature sensors and laser tachometers. Some examples of shaking incubators with monitoring features include the Labnet Environmental Shaking Incubator, the TriNEST Microplate Incubator Shaker by PerkinElmer, and the Innova S44i Stackable Incubator Shaker by Eppendorf. The Zhichu shaking incubator is another option that offers accurate temperature control and a double shaking platform. The shaking incubator is an incubator which consists of shaker and heating chamber for incubating and shaking sensitive samples. It replaces two devices, reducing both time and space needed. Both the shaking mechanism and temperature chamber are regulated via microprocessors, which control all sensors for motor speed, temperature and time. It is suitable for biochemistry, microbiology and clinical laboratories in which applications require temperature and shaking treatment. This article presents a novel design of calibration method of shaking incubator by studying the essential metrological parameters of the device. The experimental results show that the calibration method presented in this article can establish the metrological traceability system of shaking incubator in China in order to ensure the accuracy and reliability of the device, which is of great importance for the quality control of the device.
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