A laser microscope image analysis and recognition system

Abstract

The invention discloses a laser microscope image analysis and recognition system. The laser microscope image analysis and recognition system includes a processing module, an acquisition module, a feature module, a database module, a training module, a storage module, a display module and a communication module; the output end of the acquisition module is connected with the input end of the featuremodule; the output end of the feature module is connected with the input end of the processing module, the processing module is respectively in bidirectional connection with the database module and the training module, and the output end of the processing module is respectively connected with the input end of the storage module, the input end of the display module and the input end of the communication module. By integrating the collection module, the feature module and the database module, the collection efficiency is high, the feature comparison accuracy is high, and in addition, the recognition, error rate reduction and database storage data improvement can be realized through the training module, so that the intelligent laser microscope image analysis and recognition are realized.

Description

technical field [0001] The invention relates to the technical field of microscope detection, in particular to a laser microscope image analysis and recognition system. Background technique [0002] Laser microscope (CLSM) is composed of confocal microscope and femtosecond infrared laser Verdi / Mira. It is a combination of optical microscope and modern laser technology, high-sensitivity detection technology, scanning control technology, computer image processing technology, fluorescence and marking technology. . CLSM has opened up a new way for life science to observe the structure of living cells and the biological changes of specific molecules and ions, and has become a new generation of powerful research tools in the fields of molecular cell biology, neuroscience, pharmacology, genetics and other fields. [0003] However, the current image detection for laser microscopy (CLSM) often uses manual database information comparison, which is not only inefficient, but also has la...

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Problems solved by technology

[0003] At present, image detection for laser microscopy (CLSM) often uses manual database information comparison, which is not only inefficient, but also has large errors, which makes the use of certain limitations.

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