Multi-platform interaction based remote-operation bioexperiment system and control method

Abstract

The invention provides a control method of a multi-platform interaction based remote-operation bioexperiment system. The control method comprises steps as follows: a real-time video request instruction is sent to a server by a client to allow a worker to observe cell culture conditions; the server feeds back cell culture environment information and implements adjustment of environmental parameters in a cell incubator by the aid of client; the client adjusts and controls horizontal displacement of an object stage in an optical imaging module or vertical displacement of a microscope objective based on instructions through the server according to received video images; the client can adopt the server to control a microscope camera to take photos for acquisition of cell images and processes the cell images by sending an image processing instruction; the client can remotely download the unprocessed or processed cell images stored in the server. According to the control method, a calculation process is completed on the server in wired connection with an imaging device without dependence on configuration of the client, data information loss caused by a communication process in a transmitting procedure does not need to be worried, remote observation of an experimental process is realized, experimental operation is completed, and labor intensity of a researcher is reduced.

Description

technical field [0001] The invention relates to a remote operation biological experiment. In particular, it relates to a multi-platform interactive remote operation biological experiment system and a control method. Background technique [0002] In biological cell experiments, it is often necessary to observe or detect living cells in the culture medium at different time points, such as at 0 hours, 6 hours, 12 hours, etc., to obtain relevant data at these discrete time points for analysis. However, the observation time points are too scattered to fully understand the changes in the cell culture process; in some cases, once the cells are out of a suitable culture environment, observation may have a greater impact on their state, making the observed data meaningless; It is impossible to observe phenomena such as tumor cell migration for a long time. [0003] In response to this problem, in recent years, people have developed a biological experiment system that can observe ce...

AI Technical Summary

Problems solved by technology

The disadvantage is that it requires high network bandwidth. If the real-time efficiency of transmission is pursued, the quality of the transmitted image will be affected, especially the irreversible damage to the color information of the image during the process of image compression and encoding, which will affect the subsequent analysis results. The client is completed and has high requirements for client hardware configuration; another living cell workstation xcellence, which is similar to Japan’s Olympus, combines the size reduction of the incubator with an imaging microscope for real-time observation, and the image data is transmitted to the PC for observation by cable and processing

Its advantage lies in the use of wired transmission mode, high real-time image transmission efficiency and strong reliability, but the...

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