Real-time EELS spectra classification using Principal Components Analysis (PCA) and Artificial Neural Networks (ANN)

2001 ◽  
Vol 7 (S2) ◽  
pp. 1164-1165
Author(s):  
P-G Åstrand ◽  
S. Csillag
Keyword(s):  
Data Analysis ◽  
Real Time ◽  
Short Exposure ◽  
Data Recording ◽  
Time Data ◽  
Real Time Data ◽  
Recent Developments ◽  
Analysis System ◽  
Data Analysis System ◽  
Exciting Possibility

Recent developments in detector technology [1] for EELS and Energy Filtered TEM has made possible to obtain large number of spectra and energy filtered images during very short exposure times. This in turn opens the exciting possibility of studying time dependent processes in the electron microscope, during exposure to the electron beam as well as the study of different radiation sensitive samples which are being degraded during lengthily data recording. This kind of data recording generates a large amount of data and manual data analysis should be avoided in order to be able to fully benefit from the improved sensitivity and increased speed of these new detectors. Thus a fast, real-time data analysis system is highly desirable.A system for real-time data analysis (spectra classification) of data generated from such a detector has been simulated in a program based on the object oriented C++ framework ROOT [2][3].

scholarly journals Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks

2018 ◽  
Vol 19 (S18) ◽  
Author(s):  
Ahmed Sanaullah ◽  
Chen Yang ◽  
Yuri Alexeev ◽  
Kazutomo Yoshii ◽  
Martin C. Herbordt
Keyword(s):  
Neural Networks ◽  
Data Analysis ◽  
Real Time ◽  
Medical Diagnosis ◽  
Time Data ◽  
Real Time Data
Sign in / Sign up

Export Citation Format

Share Document