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IGOR XOP 8 Toolkit Reference Manual
IGOR XOP TOOLKIT REFERENCE MANUAL Version 8.01 WaveMetrics, Inc. Copyright This manual and the Igor XOP Toolkit are copyrighted by WaveMetrics with all rights reserved. Under copyright laws it is illegal for you to copy this manual or the software without written permission from WaveMetrics. WaveMetrics gives you permission to make unlimited copies of the software on any number of machines but only for your own personal use. You may not copy the software for any other reason. You must ensure that only one copy of the software is in use at any given time. Notice All brand and product names are trademarks or registered trademarks of their respective companies. Manual Revision: September 28, 2018 (8.01) © Copyright 2018 WaveMetrics, Inc. All rights reserved. WaveMetrics, Inc. PO Box 2088 Lake Oswego, OR 97035 USA Email: [email protected], [email protected] Web: http://www.wavemetrics.com/ Table of Contents Chapter 1 - Introduction to XOPs About This Manual .............................................................................................. 1 What is an XOP?.................................................................................................. 1 Who Can Write an XOP?..................................................................................... 2 A Brief History of Igor ........................................................................................ 2 XOP Toolkit 8...................................................................................................... 4 Choosing Which XOP Toolkit -
Pclamp 10 Data Acquisition and Analysis Software User Guide
pCLAMP™ 10 Data Acquisition & Analysis Software User Guide 1-2500-0180 G January 2016 pCLAMP 10 Data Acquisition and Analysis Software User Guide This document is provided to customers who have purchased Molecular Devices equipment, software, reagents, and consumables to use in the operation of such Molecular Devices equipment, software, reagents, and consumables. This document is copyright protected and any reproduction of this document, in whole or any part, is strictly prohibited, except as Molecular Devices may authorize in writing. Software that may be described in this document is furnished under a non-transferrable license. It is against the law to copy, modify, or distribute the software on any medium, except as specifically allowed in the license agreement. Furthermore, the license agreement may prohibit the software from being disassembled, reverse engineered, or decompiled for any purpose. Portions of this document may make reference to other manufacturers and/or their products, which may contain parts whose names are registered as trademarks and/or function as trademarks of their respective owners. Any such usage is intended only to designate those manufacturers’ products as supplied by Molecular Devices for incorporation into its equipment and does not imply any right and/or license to use or permit others to use such manufacturers’ and/or their product names as trademarks. Each product is shipped with documentation stating specifications and other technical information. Molecular Devices products are warranted to meet the stated specifications. Molecular Devices makes no other warranties or representations express or implied, including but not limited to, the fitness of this product for any particular purpose and assumes no responsibility or contingent liability, including indirect or consequential damages, for any use to which the purchaser may put the equipment described herein, or for any adverse circumstances arising therefrom. -
IGOR XOP 6 Toolkit Reference Manual
IGOR XOP TOOLKIT REFERENCE MANUAL Version 6.40 WaveMetrics, Inc. Copyright This manual and the Igor XOP Toolkit are copyrighted by WaveMetrics with all rights reserved. Under copyright laws it is illegal for you to copy this manual or the software without written permission from WaveMetrics. WaveMetrics gives you permission to make unlimited copies of the software on any number of machines but only for your own personal use. You may not copy the software for any other reason. You must ensure that only one copy of the software is in use at any given time. Notice All brand and product names are trademarks or registered trademarks of their respective companies. Manual Revision: October 27, 2015 (6.40) © Copyright 2015 WaveMetrics, Inc. All rights reserved. WaveMetrics, Inc. PO Box 2088 Lake Oswego, OR 97035 USA Voice: 503-620-3001 FAX: 503-620-6754 Email: [email protected], [email protected] Web: http://www.wavemetrics.com/ Table of Contents Chapter 1 - Introduction to XOPs About This Manual .............................................................................................. 1 What is an XOP?.................................................................................................. 2 Who Can Write an XOP?..................................................................................... 2 A Brief History of Igor ........................................................................................ 2 XOP Toolkit 6.4.................................................................................................. -
Free Analysis and Visualization Programs for Electrochemical Impedance Spectroscopy Coded in Python Kiyoshi KOBAYASHI * and Tohru S
Advance Publication by J-STAGE Received: January 14, 2021 Electrochemistry Accepted: January 19, 2021 Published online: January 26, 2021 The Electrochemical Society of Japan https://doi.org/10.5796/electrochemistry.21-00010 Note Electrochemistry, (in press) 1–5 Free Analysis and Visualization Programs for Electrochemical Impedance Spectroscopy Coded in Python Kiyoshi KOBAYASHI * and Tohru S. SUZUKI Research Center for Functional Materials, National Institute for Materials Science, 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan * Corresponding author: [email protected] ABSTRACT New programs for fitting using an equivalent circuit model and data visualization of electrochemical impedance spectroscopy were developed using Python and its open-source libraries. Executable programs have a graphical user interface and can run on a Microsoft Windows operating system without utilizing other platform applications. Many practical functions were implemented, e.g., supporting various file formats, graphical support functions to obtain a good initial guess, display interactive three-dimensional plots of fi CORRECTED PROOF the spectrum, a modi ed logarithmic Hilbert integral transform test, display multiple spectra data, etc. The developed executable programs were released by free of charge for use under the MIT license. © The Author(s) 2021. Published by ECSJ. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY, http://creativecommons.org/licenses/by/4.0/), which permits unrestricted -
Publication Quality 2D Graphs with Less Manual Effort Due to Explicit Use of Dual Coordinate Systems Daniel a Wagenaar
Wagenaar Source Code for Biology and Medicine 2014, 9:22 http://www.scfbm.org/content/9/1/22 SOFTWARE REVIEW Open Access Publication quality 2D graphs with less manual effort due to explicit use of dual coordinate systems Daniel A Wagenaar Abstract Creating visually pleasing graphs in data visualization programs such as Matlab is surprisingly challenging. One common problem is that the positions and sizes of non-data elements such as textual annotations must typically be specified in either data coordinates or in absolute paper coordinates, whereas it would be more natural to specify them using a combination of these coordinate systems. I propose a framework in which it is easy to express, e.g., “this label should appear 2 mm to the right of the data point at (3, 2)” or “this arrow should point to the datum at (2, 1) and be 5 mm long.” I describe an algorithm for the correct layout of graphs of arbitrary complexity with automatic axis scaling within this framework. An implementation is provided in the form of a complete 2D plotting package that can be used to produce publication-quality graphs from within Matlab or Octave. Keywords: Data plotting, Typography, Matlab Background the label location in data coordinates. By trial and error, Computer programs for the two-dimensional graphical the user can experiment and find that in one particu- display of numerical data abound (e.g., Gnuplot [1], Igor lar graph the annotation should be placed at (1, 0.95) Pro [2], Matlab [3], Octave [4]). Such programs commonly and in another at (1, 0.6) to appear at the desired dis- allow specification of data in arbitrary coordinates, and tance below the data point at (1, 1). -
Combigor: Data Analysis Package for Combinatorial Materials Science
COMBIgor: data analysis package for combinatorial materials science Kevin R. Talley,y,z Sage R. Bauers,y Celeste L. Melamed,y,{ Meagan C. Papac,y,z Karen N. Heinselman,y Imran Khan,y Dennice M. Roberts,y,x Valerie Jacobson,y,z Allison Mis,y,z Geoff L. Brennecka,z John D. Perkins,k and Andriy Zakutayev∗,y yNational Renewable Energy Laboratory, 15013 Denver West Pkwy, Golden, CO, 80401, USA zDepartment of Metallurgical and Materials Engineering, Colorado School of Mines, 1500 Illinois St., Golden, CO, 80401, USA {Department of Physics, Colorado School of Mines, 1500 Illinois Street, Golden, CO, 80401, USA xDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA kNational renewable Energy Laboratory, 15013 Denver West Pkwy, Golden, CO, 80401, USA E-mail: [email protected] Abstract arXiv:1904.07989v2 [cond-mat.mtrl-sci] 30 Apr 2019 Combinatorial experiments involve synthesis of sample libraries with lateral compo- sition gradients requiring spatially-resolved characterization of structure and properties. Due to maturation of combinatorial methods and their successful application in many fields, the modern combinatorial laboratory produces diverse and complex data sets requiring advanced analysis and visualization techniques. In order to utilize these large 1 data sets to uncover new knowledge, the combinatorial scientist must engage in data science. For data science tasks, most laboratories adopt common-purpose data manage- ment and visualization software. However, processing and cross-correlating data from various measurement tools is no small task for such generic programs. Here we describe COMBIgor, a purpose-built open-source software package written in the commercial Igor Pro environment, designed to offer a systematic approach to loading, storing, pro- cessing, and visualizing combinatorial data sets.