Automatic microbial mass spectrometry detection system identify and analyze the microbial strains separated from human specimens based on the MALDI-TOF mass spectrometry technique
Long-lifetime solid-state laser, Nd: YLF UV laser (349 nm) |
Patented target plate with high throughput that can detect 96×3 samples once |
Quality detection range: 0–300 kD |
With a power database containing information on more than 2600 microbes |
High vacuum system that enables fast vacuumizing |
Provide the special matrix solution for mass spectrometry, which is easy to operate, improving identification accuracy |
Hydrophobic and hydrophilic surface treatment techniques can improve the cohesion of the sample, reduce the demand for the sample and matrix and improve the detection sensitivity
Hardly contaminated, single-use, easy for sample analysis
Target plates of various specifications are available, including 96 x 3-well plates and 384-well plates
Nd: YLF laser with a wavelength of 349 nm
Frequency up to 1000 Hz
Long service life with one billion laser shots
Fast and efficient testing with an average detection time of 15s per sample
Modular design for internal functional areas of MicroIDSys
Convenient for maintenance and function upgrade
Introduce deep learning (AI) algorithm. The more tests, the more accurate the test results
Support customized database to meet different clinical and research needs
MicroIDSys has developed a cloud database for users to upload and share data, and to use the powerful data resources included
It includes more than 2600 microbes and is continuously enriching and updating
Rich data on mycobacteria for better identification performance
Excellent fungal identification results
Excellent identification accuracy, providing rapid and reliable identification results for common microbes
High accuracy in strain identification, with exclusive advantages in fungal identification
High accuracy of mycobacteria identification by MicroIDSys
Provide the special matrix solution for mass spectrometry, which is easy to operate
Improving identification accuracy