Collaborative research
Professor Fukusaki Eiichiro of the Graduate School of Engineering, Osaka University, and Professor Fumio Matsuda of the Graduate School of Information Science and Technology, Osaka University, provided input about researcher requirements. Shimadzu and Osaka University have established the "Osaka University and Shimadzu Analytical Innovation Research Laboratory" to develop analysis technology for metabolomics.
 Peak picking
The process of reading the width and height of waveforms (peaks) from data acquired by a mass spectrometer
 Training data
Data used for learning by a deep learning network. This is the set of data that is input to the network and the output that is expected. In the case of this technology, it would be the set of output data from the analytical instrument and the corresponding peaks picked by an experienced operator.
 A false detection rate of 7% and an undetected rate of 9%
The peak picking result obtained manually by an experienced operator is called to be in the "correct range". This is compared with the "predicted range", which indicates the peak picking result produced automatically by the AI system. If the "correct range" and "predicted range" overlap by 50% or more, they are considered to match, and otherwise there is no match. A match indicates that the peak was correctly detected, whereas if the predicted range does not match the correct range, it is defined as "false positive." When the correct range does not match the predicted range, it is defined as "undetected". The false positive rate was calculated as the false positive count/ (detection count + false positive count), and the undetected rate as undetected count/ (detected count + undetected count).
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Date: 13 November, 2017
City: Kyoto, Tokyo and Kawasaki, Japan
Company: Shimadzu Corporation ,Fujitsu Limited ,Fujitsu Laboratories Ltd.