SW06 Data Analysis and Slope/Canyon Experiment Planning

2012 ◽  
Author(s):  
James F. Lynch
SoftwareX ◽  
2016 ◽  
Vol 5 ◽  
pp. 121-126 ◽  
Author(s):  
Tobias Weber ◽  
Robert Georgii ◽  
Peter Böni

2013 ◽  
Vol 9 (8) ◽  
pp. 2085 ◽  
Author(s):  
Peter Zolotukhin ◽  
Yulia Kozlova ◽  
Anastasiya Dovzhik ◽  
Konstantin Kovalenko ◽  
Kseniya Kutsyn ◽  
...  

Author(s):  
P. Ingram

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.


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