An efficient peak-separation algorithm for a personal computer. II Data division and data reduction.

1986 ◽  
Vol 35 (4) ◽  
pp. 289-298 ◽  
Author(s):  
Yasuhiro SENGA ◽  
Sigeo MINAMI
Keyword(s):  
Personal Computer ◽  
Data Reduction ◽  
Separation Algorithm ◽  
Peak Separation ◽  
Data Division

scholarly journals Film Thickness-Profile Measurement Using Iterative Peak Separation Structured Illumination Microscopy

2021 ◽  
Vol 11 (7) ◽  
pp. 3023
Author(s):  
Kejun Yang ◽  
Chenhaolei Han ◽  
Jinhua Feng ◽  
Yan Tang ◽  
Zhongye Xie ◽  
...  
Keyword(s):  
Modulation Depth ◽  
Thickness Distribution ◽  
Detection Threshold ◽  
Profile Measurement ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Separation Algorithm ◽  
Peak Separation ◽  
Lower Detection ◽  
Depth Response

The surface and thickness distribution measurement for transparent film is of interest for electronics and packaging materials. Structured illumination microscopy (SIM) is a prospective technique for measuring film due to its high accuracy and efficiency. However, when the distance between adjacent layers becomes close, the peaks of the modulation depth response (MDR) start to overlap and interfere with the peak extraction, which restricts SIM development in the field of film measurement. In this paper, an iterative peak separation algorithm is creatively applied in the SIM-based technique, providing a precise peak identification even as the MDR peaks overlap and bend into one. Compared with the traditional method, the proposed method has a lower detection threshold for thickness. The experiments and theoretical analysis are elaborated to demonstrate the feasibility of the mentioned method.

Quantifying bone and liver alkaline phosphatase by the resolution of two-component inactivation data obtained with a centrifugal analyzer

1991 ◽  
Vol 37 (3) ◽  
pp. 347-350 ◽  
Author(s):  
Rodney W Forsman ◽  
John F O'Brien
Keyword(s):  
Alkaline Phosphatase ◽  
Linear Equation ◽  
Personal Computer ◽  
Data Reduction ◽  
Total Activity ◽  
Clinical Specimens ◽  
Mathematical Solution ◽  
Accuracy And Precision ◽  
Two Component ◽  
Speed Accuracy

Abstract In this method we use a linear equation to resolve two-component decay data from the urea inactivation of mixtures of alkaline phosphatase (EC 3.1.3.1) of liver and bone origin. The specificity for the bone/liver isoenzyme is enhanced by including L-phenylalanine in the urea reaction to inhibit the intestinal and placental forms. Bone and liver fractions are each quantified from results of a single run on the centrifugal analyzer. Total activity and the L-phenylalanine-inhibited fraction are measured on separate runs. A simplification of this method has been used in our laboratory for 14 years in performing greater than 80,000 analyses of clinical specimens. Speed, accuracy, and precision are improved over previous methods by this mathematical solution. Data reduction is automated through the use of a personal computer interfaced to the analyzer. With such systems generally available, this method can now be suggested as suitable for routine use to separate these and perhaps other isoenzyme mixtures.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

The quantitative comparison of experimental and simulated diffraction contrast images

1995 ◽  
Vol 53 ◽  
pp. 102-103
Author(s):  
Stuart McKernan
Keyword(s):  
Image Processing ◽  
Personal Computer ◽  
Close Agreement ◽  
Quantitative Comparison ◽  
Image Simulation ◽  
Computing Power ◽  
Diffraction Contrast ◽  
Simulated Images ◽  
Made In

For many years the concept of quantitative diffraction contrast experiments might have consisted of the determination of dislocation Burgers vectors using a g.b = 0 criterion from several different 2-beam images. Since the advent of the personal computer revolution, the available computing power for performing image-processing and image-simulation calculations is enormous and ubiquitous. Several programs now exist to perform simulations of diffraction contrast images using various approximations. The most common approximations are the use of only 2-beams or a single systematic row to calculate the image contrast, or calculating the image using a column approximation. The increasing amount of literature showing comparisons of experimental and simulated images shows that it is possible to obtain very close agreement between the two images; although the choice of parameters used, and the assumptions made, in performing the calculation must be properly dealt with. The simulation of the images of defects in materials has, in many cases, therefore become a tractable problem.

On-line alignment and astigmatism correction using a TV and personal computer

1993 ◽  
Vol 51 ◽  
pp. 202-203
Author(s):  
F. Hosokawa ◽  
Y. Kondo ◽  
T. Honda ◽  
Y. Ishida ◽  
M. Kersker
Keyword(s):  
High Resolution ◽  
Personal Computer ◽  
Block Diagram ◽  
Incident Beam ◽  
Ccd Camera ◽  
Alignment Procedure ◽  
Astigmatism Correction ◽  
Transmission Electron ◽  
Alignment System ◽  
On Line

High-resolution transmission electron microscopy must attain utmost accuracy in the alignment of incident beam direction and in astigmatism correction, and that, in the shortest possible time. As a method to eliminate this troublesome work, an automatic alignment system using the Slow-Scan CCD camera has been introduced recently. In this method, diffractograms of amorphous images are calculated and analyzed to detect misalignment and astigmatism automatically. In the present study, we also examined diffractogram analysis using a personal computer and digitized TV images, and found that TV images provided enough quality for the on-line alignment procedure of high-resolution work in TEM. Fig. 1 shows a block diagram of our system. The averaged image is digitized by a TV board and is transported to a computer memory, then a diffractogram is calculated using an FFT board, and the feedback parameters which are determined by diffractogram analysis are sent to the microscope(JEM- 2010) through the RS232C interface. The on-line correction system has the following three modes.

The CLASSIC/CLIMB Data Reduction: The Math

2014 ◽  
Vol 69-70 ◽  
pp. 75-99
Author(s):  
T. ten Brummelaar
Keyword(s):  
Data Reduction
Sign in / Sign up

Export Citation Format

Share Document