Electronic Counting of Erythrocytes, Leukocytes and Platelets

2015 ◽  
pp. 54-58
Author(s):  
P. W. Helleman ◽  
J. L. v. Zwet ◽  
M. E. M. Geleijnse
Keyword(s):  
Electronic Counting

A New System For Optomanual Semiautomatic Quantitative Image Analysis

1977 ◽  
Vol 35 ◽  
pp. 210-211
Author(s):  
H.P. Rohr
Keyword(s):  
Image Analysis ◽  
Volume Density ◽  
List Type ◽  
Distribution Analysis ◽  
Type Number ◽  
Point Counting ◽  
Human Eye ◽  
Quantitative Image ◽  
Point Density ◽  
Electronic Counting

Today, in image analysis the broadest possible rationalization and economization have become desirable. Basically, there are two approaches for image analysis: The image analysis through the so-called scanning methods which are usually performed without the human eye and the systems of optical semiautomatic analysis completely relying on the human eye.The new MOP AM 01 opto-manual system (fig.) represents one of the very promising approaches in this field. The instrument consists of an electronic counting and storing unit, which incorporates a microprocessor and a keyboard for choice of measuring parameters, well designed for easy use.Using the MOP AM 01 there are three possibilities of image analysis:the manual point counting,the opto-manual point counting andthe measurement of absolute areas and/or length (size distribution analysis included).To determine a point density for the calculation of the corresponding volume density the intercepts lying within the structure are scanned with the light pen.

Method for Error Removal of Intelligent Electronic Counting Instruments

2010 ◽  
Vol 43 ◽  
pp. 127-131
Author(s):  
Zhen Liang Li ◽  
Jun Gang Fan ◽  
Ya Li
Keyword(s):  
Software System ◽  
Error Removal ◽  
Electronic Counting

In this paper, a method is introduced to remove the counting errors of electronic counting instruments, which contains two aspects to remove the errors caused by outside interference and to remove the counting errors caused by quality error of the object respectively. Counting errors of object can be removed effectively by program of software system. As a result, it’s proven to be effective and stable by applying it into practice.

Evaluation of the number of spermatozoa in bull semen. A comparison between electronic counting, light scattering and absorptiometry

1964 ◽  
Vol 62 (2) ◽  
pp. 219-223 ◽  
Author(s):  
Simon Iversen
Keyword(s):  
Light Scattering ◽  
Indirect Methods ◽  
Bull Semen ◽  
Electronic Counting

The number of spermatozoa in bull semen was determined by electronic counting, light scattering and absorptiometry. Electronic counting was found to be accurate, fast and reliable and seems to be the method of choice.Determination of the light scattering was found to be the more sensitive of the indirect methods, but absorptiometry also yields consistent and reliable results. The accuracy obtained by absorptiometry was found to be independent of the sensitivity of the instrument.

Electronic Counting of Spinal Fluid Cells

1984 ◽  
Vol 81 (4) ◽  
pp. 506-511 ◽  
Author(s):  
Ingebrigt Talstad
Keyword(s):  
Spinal Fluid ◽  
Electronic Counting

A Fringe Signal Processing Method With Multi-Sample Zero-Crossing Detection Based on DSP and its Application in Absolute Gravimeters

2016 ◽  
Author(s):  
Jin Qian ◽  
Kang Wu ◽  
Lijun Wang
Keyword(s):  
Signal Processing ◽  
Processing Method ◽  
Counting Method ◽  
Zero Crossing ◽  
Zero Crossings ◽  
Signal Processing Method ◽  
The Absolute ◽  
Free Falling ◽  
The Impact ◽  
Electronic Counting

The absolute gravitation acceleration (g) is generally measured by observation of a free-falling test mass in a vacuum chamber based on laser interference. Usually the free-falling object trajectory is obtained by timing the zero-crossings of the interference fringe signal. A traditional way to time the zero-crossings is electronic counting method, of which the resolution is limited in principle. In this paper, a fringe signal processing method with multi-sample zero-crossing detection based on Digital Signal Processor (DSP) is proposed and realized for the application in absolute gravimeters. The principle and design of the fringe signal processing method are introduced. The measuring precision is evaluated both theoretically and from numerical software simulations with MATLAB®, and verified by hardware simulated free-falling experiments. The results show that the absolute error of the gravity acceleration measurement introduced by the fringe signal processing method is less than 0.5 μGal (1 μGal = 1×10−8 m/s2), and the impact on the standard deviation is about 2 μGal. This method can effectively reduce the systematic error of the traditional electronic counting method, and satisfy the requirements for precision and portability, especially for field ready absolute gravimeters.

scholarly journals Automated Optical Counting of Blood Platelets

Blood ◽  
1971 ◽  
Vol 38 (4) ◽  
pp. 422-430 ◽  
Author(s):  
GEOFFREY M. BRITTIN ◽  
SHIRLEY A. DEW ◽  
ELVI K. FEWELL
Keyword(s):  
Whole Blood ◽  
Blood Platelets ◽  
Venous Blood ◽  
Human Platelets ◽  
Blood Samples ◽  
Platelet Counts ◽  
Large Numbers ◽  
Significant Difference ◽  
Electronic Method ◽  
Electronic Counting

Abstract We have evaluated the use of an optical particle counter to perform automated platelet counts on whole blood. The erythrocytes were lysed by dilution of whole blood with 2 M urea and the remaining platelets and leukocytes were enumerated by a darkfield microscope optical system that detects light diffracted by them. A suspension of fixed human platelets available commercially was highly satisfactory for standardization. The method gave accurate and reproducible platelet counts, comparable with those of electronic particle counting on venous blood and substantially more reliable platelet counts on thrombocytopenic and finger-puncture blood samples. We believe that errors resulting from the electronic method were caused by technical difficulties of sample handling and not to an intrinsic error in electronic counting. By using the automated optical method we found no significant difference between the platelet counts of capillary and venous blood, although capillary platelet counts had twice the variability of venous counts. The optical technique has important advantages over electronic platelet counting, and its superiority appears to be due to the ability to count platelets in diluted whole blood rather than in plasma. It should prove especially useful in performing the large numbers of platelet counts on thrombocytopenic and finger-puncture blood samples that are increasingly important for management of patients receiving chemotherapy.

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