Preliminary evaluation of stationary inverse-geometry digital tomosynthesis system for diagnostic applications: A simulation study

Optik ◽  
2020 ◽  
Vol 202 ◽  
pp. 163648
Author(s):  
Burnyoung Kim ◽  
Seungwan Lee
Keyword(s):  
Simulation Study ◽  
Preliminary Evaluation ◽  
Digital Tomosynthesis ◽  
Diagnostic Applications ◽  
Inverse Geometry

Aspiration cytology and transmission electron microscopy (TEM): A novel tissue-collection technique with useful diagnostic applications

1984 ◽  
Vol 42 ◽  
pp. 90-93
Author(s):  
J.A. Maksem ◽  
C. VanDyke ◽  
H.W. Carter ◽  
C.F. Galang
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Diagnostic Technique ◽  
Needle Aspiration ◽  
Large Series ◽  
Aspiration Cytology ◽  
Fine Needle ◽  
Transmission Electron ◽  
Diagnostic Applications ◽  
Microscopic Slide

In the last decade fine needle aspiraration biopsy has gained recognition as a valuable diagnostic technique, and its benefits have been demonstrated in large series of patients with almost every type of tumor (1,2). The usual way to collect cellular material from needle-aspiration biopsies is to discharge the needle and syringe contents onto a microscopic slide and smear the material with another slide. The entire specimen is contained on the slides prepared at the time of biopsy. Serious technical difficulties are inherent to this method. 1) Inconsistent fixation, 2) drying artifact, 3) loss of tissue fragments, 4) inability to confirm impressions by a “second method”, and 5) retention of significant diagnostic material in the needle hub. Our technique avoids these difficulties.

Preliminary Evaluation of a Weibull Function for Fitting Slow-Component Eye Velocity over the Time Course of Caloric-Induced Nystagmus

1989 ◽  
Vol 32 (3) ◽  
pp. 681-687 ◽  
Author(s):  
C. Formby ◽  
B. Albritton ◽  
I. M. Rivera
Keyword(s):  
Time Course ◽  
Slow Component ◽  
Weibull Function ◽  
Preliminary Evaluation ◽  
Mathematical Function ◽  
Before And After ◽  
Best Fitting ◽  
Eye Velocity ◽  
Fitting Parameters ◽  
Weibull Equation

We describe preliminary attempts to fit a mathematical function to the slow-component eye velocity (SCV) over the time course of caloric-induced nystagmus. Initially, we consider a Weibull equation with three parameters. These parameters are estimated by a least-squares procedure to fit digitized SCV data. We present examples of SCV data and fitted curves to show how adjustments in the parameters of the model affect the fitted curve. The best fitting parameters are presented for curves fit to 120 warm caloric responses. The fitting parameters and the efficacy of the fitted curves are compared before and after the SCV data were smoothed to reduce response variability. We also consider a more flexible four-parameter Weibull equation that, for 98% of the smoothed caloric responses, yields fits that describe the data more precisely than a line through the mean. Finally, we consider advantages and problems in fitting the Weibull function to caloric data.

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