scholarly journals Integrating the Allen Brain Institute Cell Types Database into Automated Neuroscience Workflow

2017 ◽  
Vol 15 (4) ◽  
pp. 333-342 ◽  
Author(s):  
David B. Stockton ◽  
Fidel Santamaria
Keyword(s):  
Author(s):  
W. R. Schucany ◽  
G. H. Kelsoe ◽  
V. F. Allison

Accurate estimation of the size of spheroid organelles from thin sectioned material is often necessary, as uniquely homogenous populations of organelles such as vessicles, granules, or nuclei often are critically important in the morphological identification of similar cell types. However, the difficulty in obtaining accurate diameter measurements of thin sectioned organelles is well known. This difficulty is due to the extreme tenuity of the sectioned material as compared to the size of the intact organelle. In populations where low variance is suspected the traditional method of diameter estimation has been to measure literally hundreds of profiles and to describe the “largest” as representative of the “approximate maximal diameter”.


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