Data Acquisition https://www.wavemetrics.com/ en Thermocouple Calculator https://www.wavemetrics.com/node/21411 Thermocouple Calculator <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> <span class="entity-reference"><a href="/taxonomy/term/26" hreflang="en">Mac-Intel</a></span> </span> <span><a title="View user profile." href="/user/tony" lang="" about="/user/tony" typeof="schema:Person" property="schema:name" datatype="">tony</a></span> <span>Thu, 09/24/2020 - 02:07 am</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> <span class="entity-reference"><a href="/taxonomy/term/50" hreflang="en">Education</a></span> </span> <span class="body"><p>A calculator for converting thermocouple emf to temperature and vice versa. Includes cold junction compensation and a panel interface to convert voltage waves to temperature.</p> <p><img alt="" data-entity-type="file" data-entity-uuid="d310bd08-74f8-46c5-9c9b-7a2192ed5e6c" height="300" src="/sites/www.wavemetrics.com/files/users/user69/Thermocouple%20Calculator.png" width="361" /></p> <p>From the commandline:</p> <div class="geshifilter"><div class="igor geshifilter-igor" style="font-family:monospace;">T2V<span style="color: #000000;">&#40;</span>type, temperature<span style="color: #000000;">&#41;</span><br /> V2T<span style="color: #000000;">&#40;</span>type, voltage<span style="color: #000000;">&#41;</span></div></div> <p>where voltage is in volts, temperature in °C. Type is a string.</p> <p><br /> For example, to print the temperature measured by a type K thermocouple when the emf at a 0°C cold junction is 1 mV:</p> <span class="geshifilter"><code class="igor geshifilter-igor"><span style="color: #007575;">Print</span> V2T<span style="color: #000000;">&#40;</span><span style="color: #009c00;">&quot;K&quot;</span>, 1e-3<span style="color: #000000;">&#41;</span></code></span> <p> </p></span> <span class="field-supported-version"> <label>Supported Igor Version</label> <span class="entity-reference">8.00.x</span> </span> <section class="comment-section"> </section> Thu, 24 Sep 2020 09:07:37 +0000 tony 21411 at https://www.wavemetrics.com tClamp16 https://www.wavemetrics.com/project/tClamp16 tClamp16 <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/yuichi-takeuchi" lang="" about="/user/yuichi-takeuchi" typeof="schema:Person" property="schema:name" datatype="">yuichi-takeuchi</a></span> <span>Wed, 06/14/2017 - 11:47 am</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> </span> <span class="body"><p>tClamp16</p> <p>Igor Pro GUI which offers a data acquisition environment with InstruTECH ITC16.<br />  </p> <h2>Getting Started</h2> <h3>Prerequisites</h3> <p>* Igor Pro 6.1 or later<br /> * InstruTECH ITC-16 and a host interface<br /> * ITC legacy XOP (ITC_X86_V##.XOP, ITC_X86_V## Help.ihf)<br />  </p> <h3>Installing</h3> <p>Similar to that of tClamp18 (<a href="https://github.com/yuichi-takeuchi/tClamp18">https://github.com/yuichi-takeuchi/tClamp18</a>).<br />  </p> <h2>Work flow</h2> <p>Similar to that of tClamp18 (<a href="https://github.com/yuichi-takeuchi/tClamp18">https://github.com/yuichi-takeuchi/tClamp18</a>).<br />  </p> <h2>Help</h2> <p>* Click "Help" in tClamp16 menu.<br />  </p> <h2>Versioning</h2> <p>We use SemVer for versioning.<br />  </p> <h2>Releases</h2> <p>* Pre-release v0.0.0-alpha, 2017/06/10.<br />  </p> <h2>Authors</h2> <p>* Yuichi Takeuchi, PhD<br />  </p> <h2>License</h2> <p>This project is licensed under the MIT License.<br />  </p> <h2>Acknowledgments</h2> <p>* Department of Physiology, Tokyo Women's Medical University, Tokyo, Japan<br /> * Department of Information Physiology, National Institute for Physiological Sciences, Okazaki, Japan<br />  </p></span> <span class="field-supported-version"> <label>Supported Igor Version</label> <span class="entity-reference">6.30.x</span> </span> <a href="https://github.com/yuichi-takeuchi/tClamp16" target="_blank">View Homepage</a> MIT <section class="comment-section"> </section> Wed, 14 Jun 2017 18:47:21 +0000 yuichi-takeuchi 7783 at https://www.wavemetrics.com tClamp18 https://www.wavemetrics.com/project/tClamp18 tClamp18 <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/yuichi-takeuchi" lang="" about="/user/yuichi-takeuchi" typeof="schema:Person" property="schema:name" datatype="">yuichi-takeuchi</a></span> <span>Wed, 06/14/2017 - 11:37 am</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> </span> <span class="body"><p>tClamp18</p> <p>tClamp18 offers a series of Igor Pro GUIs for data acquision via an InstruTECH ITC-18 AD/DA board. tClamp18 is optimized for whole-cell patch-clamp recordings in voltage- and current-clamp modes but it may be used for general data acquision purposes as well. tClamp18 is quite flexible in channel settings harnessing 8 ADCs and 4 DACs with any kinds of amplifiers of different manufactures (Axon, HEKA, Werner, DAGAN, Nihon Kohden etc.). tClamp18 is also very flexible in stimulus protocol: up to 4 analog waveforms made in Igor Pro and 4 digital outputs can be combined at 5 micro second resolution with an intuitive virtual 4 channel stimulator. Thus, tClamp18 is an ideal solution for simultaneous multi-cellular whole-cell recordings with several patch-clamp amplifiers with untypical complex stimulus protocol. tClamp18 is similar to pClamp software (Axon) and PatchMaster software (HEKA), but superior to them in a sense of flexibility and its cost. tClamp18 does not implement telegraph functions, so experimenters need to be careful not to forget switching gain settings when you change amplifier gain during experiments.<br />  </p> <h2>Getting Started</h2> <h3>Prerequisites</h3> <p>* InstruTECH ITC-18 and a host interface (<a href="http://www.heka.com/products/products_main.html#acq_itc18">http://www.heka.com/products/products_main.html#acq_itc18</a>)<br /> * Driver software of ITC-18 (<a href="http://www.heka.com/downloads/downloads_main.html#down_acq">http://www.heka.com/downloads/downloads_main.html#down_acq</a>)<br /> * ITC-18 XOP for Igor Pro 6.x (ITC18_X86_V76.XOP) (<a href="http://www.heka.com/downloads/downloads_main.html#down_xops">http://www.heka.com/downloads/downloads_main.html#down_xops</a>)<br /><br /> This code has been tested in Igor Pro version 6.3.7.2. for Windows and supposed to work in Igor Pro 6.1 or later.<br /> This code is supposed to work for Windows Vista, 7, 8, 10 and Mac X also, but tested only in Windows XP and 7.<br /> This code is supposed to work any host interfaces (PCI-18, PCI-18V3, or USB-18), but has been tested only with USB-18.<br />  </p> <h3>Installing</h3> <h4>Hardware</h4> <p>* under construction<br />  </p> <h4>Software</h4> <p>* under construction<br />  </p> <h4>Test with demo files</h4> <p>* under construction<br />  </p> <h2>How to setup your recording system with tClamp18</h2> <h3>DAC ADC Settings: input and output gain settings for each channel</h3> <p>* under construction<br /> * template<br /> * examples<br />  </p> <h3>Oscilloscope (OSC) Protocols: stimulus and recording settings</h3> <p>* under construction<br /> * template<br /> * examples<br />  </p> <h3>Stimulator Protocols:</h3> <p>* under construction<br /> * template<br /> * examples<br />  </p> <h2>Work flow</h2> <h3>Initialize your experiment</h3> <p>* Launch your Igor Pro.<br /> * Initialize tClamp18 by clicking "tClampInitialize" in Initialize submenu of tClamp18 menu.<br /> * Select a DAC ADC setting in tClamp18 menu.<br /> * Select a Oscillo Protocol in tClamp18 menu.<br /> * Select a Stimulator Protocol in tClamp menu, if you want to use it.<br />  </p> <h4>Example of Initialization Macro</h4> <p>It is very convenient if the above initialization processes are automated.<br /> * StimTTLPrep.ipf<br /> Select "StimTTLPrep" in Macros menu.<br /> * StimTTLPrep.ipf depends on tClamp18_SettingEPC7PLUS_700A.ipf, tClamp18_PairedPulseStimulation.ipf, tClamp18_E7PM7A_TTL_Stim.ipf files, which can be found in expample zips.<br />  </p> <h3>Seal test</h3> <p>* under construction<br />  </p> <h3>Voltage-clamp recordings</h3> <p>* under construction<br />  </p> <h3>Current-clamp recordings</h3> <p>* under construction<br />  </p> <h3>Saving your waves and experiments</h3> <p>* under construction<br />  </p> <h2>Help</h2> <p>* Click "Help" in tClamp18 menu.<br />  </p> <h2>Versioning</h2> <p>We use SemVer (<a href="http://semver.org/">http://semver.org/</a>) for versioning.<br />  </p> <h2>Releases</h2> <p>* Pre-release v0.1.0-alpha, 2017/06/10.<br />  </p> <h2>Authors</h2> <p>* Yuichi Takeuchi, PhD<br />  </p> <h2>License</h2> <p>This project is licensed under the MIT License.<br />  </p> <h2>Acknowledgments</h2> <p>* Department of Physiology, Tokyo Women's Medical University, Tokyo, Japan<br /> * Department of Information Physiology, National Institute for Physiological Sciences, Okazaki, Japan<br />  </p> <h2>References</h2> <p>tClamp18 has been used for the following works:<br /><br /> * Takeuchi Y, Yamasaki M, Nagumo Y, Imoto K, Watanabe M, Miyata M (2012) Rewiring of afferent fibers in the somatosensory thalamus of mice caused by peripheral sensory nerve transection. J Neurosci 32: 6917-6930.<br /> * Takeuchi Y, Asano H, Katayama Y, Muragaki Y, Imoto K, Miyata M (2014) Large-scale somatotopic refinement via functional synapse elimination in the sensory thalamus of developing mice. J Neurosci 34: 1258-1270.<br /> * Takeuchi Y, Osaki H, Yagasaki Y, Katayama Y, Miyata M (2017) Afferent Fiber Remodeling in the Somatosensory Thalamus of Mice as a Neural Basis of Somatotopic Reorganization in the Brain and Ectopic Mechanical Hypersensitivity after Peripheral Sensory Nerve Injury. eNeuro 4: e0345-0316.</p></span> <span class="field-supported-version"> <label>Supported Igor Version</label> <span class="entity-reference">6.30.x</span> </span> <a href="https://github.com/yuichi-takeuchi/tClamp18" target="_blank">View Homepage</a> MIT <section class="comment-section"> </section> Wed, 14 Jun 2017 18:37:17 +0000 yuichi-takeuchi 7781 at https://www.wavemetrics.com iPhys https://www.wavemetrics.com/project/iphys iPhys <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/alonpolegpolsky" lang="" about="/user/alonpolegpolsky" typeof="schema:Person" property="schema:name" datatype="">AlonPolegPolsky</a></span> <span>Fri, 02/13/2015 - 06:12 pm</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/40" hreflang="en">Utilities</a></span> <span class="entity-reference"><a href="/taxonomy/term/41" hreflang="en">User Interface</a></span> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> <span class="entity-reference"><a href="/taxonomy/term/43" hreflang="en">Programming</a></span> <span class="entity-reference"><a href="/taxonomy/term/44" hreflang="en">File Input/Output</a></span> <span class="entity-reference"><a href="/taxonomy/term/45" hreflang="en">Graphing</a></span> <span class="entity-reference"><a href="/taxonomy/term/46" hreflang="en">Image Processing</a></span> <span class="entity-reference"><a href="/taxonomy/term/47" hreflang="en">Statistics</a></span> <span class="entity-reference"><a href="/taxonomy/term/49" hreflang="en">Analysis</a></span> <span class="entity-reference"><a href="/taxonomy/term/72" hreflang="en">Hardware</a></span> </span> <span class="body">iPhys is a dual image analysis / electrophysiology acquisition and analysis suite. Readable formats include TIFF image files, text data files and iPhys generated data files. The software was developed with increased automation of basic procedures in mind. For example, the user doesn't need to specify a file name for saving acquisition files, as they are automatically saved into the working directory. The user enjoys an extensive graphical interface with sticky windows (making dragging multiple windows easy), easy to activate and close plots and one click generated complex analysis modules. iPhys is most appropriate for image files with a small (&lt;20) number of ROIs and for a single electrode recordings. For image analysis, options include arbitrary ROI shapes, adjustable parameters between images, fast selection of temporal regions of analysis and heat plots. Additional graphs that can be automatically generated are polar plots of directional data, group plot to display sub-divisions of the dataset, trend plot, variability and power analysis, extensive ANOVA panel, FFT and more. Each dataset can be viewed as a whole or divided into groups or to arbitrary selections. For electrophysiology, analysis includes, in addition to the above, automatic spike (action potential) detection, filtering and basic and advanced statistical analysis (calculation of standard deviation, SNR and ANOVA). <br /> Experiments (data and plots) can be saved to memory or hard drive for easy manipulation, batch processing and retrieval. This powerful option makes combining different experiments easy, while preserving all the information of the individual experiments.<br /> Additional module integrated in the software is visual stimulation with an external device, which was originally used for stimulation of a retinal tissue. <br /></span> <a href="https://www.wavemetrics.com/sites/www.wavemetrics.com/files/images-imported/iPhys.preview.jpg"><img src="/sites/www.wavemetrics.com/files/styles/content_body/public/images-imported/iPhys.preview.jpg" width="640" height="190" title="Iphys" typeof="foaf:Image" class="content_body" /> </a> <span class="field-supported-version"> <label>Supported Igor Version</label> <span class="entity-reference">6.20.x</span> <span class="entity-reference">6.20.x</span> <span class="entity-reference">6.20.x</span> <span class="entity-reference">6.30.x</span> <span class="entity-reference">6.30.x</span> </span> <section class="comment-section"> </section> Sat, 14 Feb 2015 02:12:39 +0000 AlonPolegPolsky 6307 at https://www.wavemetrics.com twoPhoton scanning laser microscopy control https://www.wavemetrics.com/project/twoPhoton twoPhoton scanning laser microscopy control <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/26" hreflang="en">Mac-Intel</a></span> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/jamie" lang="" about="/user/jamie" typeof="schema:Person" property="schema:name" datatype="">jamie</a></span> <span>Mon, 07/22/2013 - 06:03 pm</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> <span class="entity-reference"><a href="/taxonomy/term/46" hreflang="en">Image Processing</a></span> <span class="entity-reference"><a href="/taxonomy/term/49" hreflang="en">Analysis</a></span> </span> <span class="body">Code for using Igor Pro with NIDAQ toolkit and National Instruments data acquisition boards (PCI-6110 or similar for imaging plus optionally a PCI-6036 or similar for electrophysiology traces) to drive a scanning laser microscope system, as for confocal or 2-photon microscopy. Igor Pro/NIDAQ drives the galvanometers that direct the beam, and collects the data. Can also control moving the microscope stage around, as for controlling focus to make z-stacks. Includes some code for analysis of images/image stacks. The acquisition side of things is currently old-school NIDAQ and back-compatible to Igor 5.05, for Mac OS 9 compatibility, but it will also work with Windows. Plans are to underway to update to newer drivers. The analysis side of things will work on all platforms. Some functions are in a cross-platform XOP to speed things up a bit.<br /></span> <a href="http://svn.igorexchange.com/viewvc/packages/twoPhoton/" target="_blank">http://svn.igorexchange.com/viewvc/packages/twoPhoton/</a> <section class="comment-section"> </section> Tue, 23 Jul 2013 01:03:28 +0000 jamie 5259 at https://www.wavemetrics.com Igor Sequencer for Arduino https://www.wavemetrics.com/project/Arduino_Sequencer Igor Sequencer for Arduino <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/26" hreflang="en">Mac-Intel</a></span> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/hartelna" lang="" about="/user/hartelna" typeof="schema:Person" property="schema:name" datatype="">hartelna</a></span> <span>Fri, 04/05/2013 - 09:14 am</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> </span> <span class="body">Igor Sequencer controls an Arduino device to produce sequences of output pulses in a user-defined sequence. It provides low cost control of up to 12 outputs in two banks of 6 pins with sub-millisecond accuracy. Sequences are programmed through a GUI and they can be saved and loaded for quick recall.<br /><br /> You will need an Arduino Uno or Mega (it will probably work with other Arduino models as well). A sketch is provided which contains the code to install on the Arduino. A manual describing installation and operation is also available for download.<br /><br /> This software has been tested on Macintosh and Windows versions of Igor running Igor Pro 6.3.<br /><br /> Further information can be found by following the links towards the bottom of the following page:<br /> <a href="https://swww2.le.ac.uk/Members/nh88/software">https://swww2.le.ac.uk/Members/nh88/software</a><br /><br /></span> <a href="https://www.wavemetrics.com/sites/www.wavemetrics.com/files/images-imported/SequencerPanel.preview.png"><img src="/sites/www.wavemetrics.com/files/styles/content_body/public/images-imported/SequencerPanel.preview.png" width="108" height="300" title="Igor Sequencer Panel" typeof="foaf:Image" class="content_body" /> </a> <span class="field-supported-version"> <label>Supported Igor Version</label> <span class="entity-reference">6.30.x</span> </span> <a href="https://swww2.le.ac.uk/Members/nh88/Igor%20Sequencer%20Instructions.pdf" target="_blank">View Documentation</a> <a href="https://swww2.le.ac.uk/Members/nh88/software" target="_blank">View Homepage</a> <section class="comment-section"> </section> Fri, 05 Apr 2013 16:14:08 +0000 hartelna 4503 at https://www.wavemetrics.com Channel Rhodopsin Mapper https://www.wavemetrics.com/project/ChrMapper Channel Rhodopsin Mapper <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/26" hreflang="en">Mac-Intel</a></span> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/jamie" lang="" about="/user/jamie" typeof="schema:Person" property="schema:name" datatype="">jamie</a></span> <span>Thu, 03/07/2013 - 01:23 pm</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> </span> <span class="body">Channel Rhodopsin Mapper (ChRMapper) is a package written for Igor Pro 6.1 or higher for making photoactivation maps in motor cortex expressing channel rhodopsin (Ayling et al., Nat Methods. 2009 Mar;6(3):219-24; <a href="http://www.ncbi.nlm.nih.gov/pubmed/19219033">http://www.ncbi.nlm.nih.gov/pubmed/19219033</a>).<br /> ChRMapper requires:<br /><ol><li>Data acquisition board from National Instruments</li><br /><li>NIDAQmx XOP (<a href="http://www.wavemetrics.com/products/nidaqtools/nidaqtools.htm">http://www.wavemetrics.com/products/nidaqtools/nidaqtools.htm</a>)</li><br /><li>Computer-controllable stage (usually serial port with VDT2).</li><br /><li>Laser plus associated optics to focus it on the sample (see paper for details).</li><br /><li>A way to record an evoked signal (e.g.,electromyograms, position sensors, accelerometers)</li></ol> ChRMapper features:<br /><ol><li>Control of light stimulaton with either a TTL gating signal or an analog voltage that determines intensity.</li><br /><li>Control of stimulation position via a motorzied stage, or galvo mounted mirrors.</li><br /><li>Recording of analog signals syncronized with the laser stimulation.</li><br /><li>An efficient and intuitive panel-driven user interface.</li><br /><li>A suite of functions to analyze the data, e.g., make maps of evoked movements.</li></ol></span> <a href="http://svn.igorexchange.com/viewvc/packages/ChrMapper/" target="_blank">http://svn.igorexchange.com/viewvc/packages/ChrMapper/</a> <section class="comment-section"> </section> Thu, 07 Mar 2013 21:23:00 +0000 jamie 4394 at https://www.wavemetrics.com Tango for Igor Pro https://www.wavemetrics.com/project/Tango4IgorPro Tango for Igor Pro <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/nleclercq" lang="" about="/user/nleclercq" typeof="schema:Person" property="schema:name" datatype="">nleclercq</a></span> <span>Sun, 11/11/2012 - 01:52 am</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> </span> <span class="body">TANGO is an object oriented distributed control system being actively developed as a collaborative effort between several synchrotron institutes. The object model in TANGO supports methods, attributes and properties. In TANGO all objects are representations of devices. The devices can run on the same computer or distributed over computers interconnected by a network. The network communication is based on CORBA &amp; ZMQ. Communication can be synchronous, asynchronous or event driven. Configuration data is stored in a database. On the server side, programming support is provided for C++, Java and Python under both Linux &amp; Windows. Clients can be written in all three languages as well as using several commercial products - including Igor Pro. For more information, visit our “pink” website at: <a href="http://www.tango-controls.org">http://www.tango-controls.org</a><br /><br /> About the Tango binding package…<br /><br /> The Igor Pro package for TANGO contains an XOP and several procedures (including a code generator and a tutorial). It provides the user with a generic access to any server running into the control system. Thanks to Igor’s built-in features and programming capability, it becomes straightforward to write fast and powerful TANGO clients.</span> <a href="https://www.wavemetrics.com/sites/www.wavemetrics.com/files/images-imported/igp-binding-sshot.preview_0.thumbnail.JPG"><img src="/sites/www.wavemetrics.com/files/styles/content_body/public/images-imported/igp-binding-sshot.preview_0.thumbnail.JPG" width="100" height="80" title="Tango bindings for Igor Pro" typeof="foaf:Image" class="content_body" /> </a> <span class="field-supported-version"> <label>Supported Igor Version</label> <span class="entity-reference">6.20.x</span> </span> <a href="http://www.tango-controls.org/download" target="_blank">View Homepage</a> <section class="comment-section"> </section> Sun, 11 Nov 2012 09:52:30 +0000 nleclercq 3774 at https://www.wavemetrics.com Automated Cell Tracker https://www.wavemetrics.com/project/AutomatedCellTracker Automated Cell Tracker <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/ctmckee" lang="" about="/user/ctmckee" typeof="schema:Person" property="schema:name" datatype="">ctmckee</a></span> <span>Thu, 02/16/2012 - 03:15 pm</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/41" hreflang="en">User Interface</a></span> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> <span class="entity-reference"><a href="/taxonomy/term/43" hreflang="en">Programming</a></span> <span class="entity-reference"><a href="/taxonomy/term/46" hreflang="en">Image Processing</a></span> </span> <span class="body">This program will automatically track a user defined object (cells) through a stack of images and output the X and Y pixel coordinates of the object, as well as the distance moved and velocity for each frame of the movie. Two zip files are provided (click "View all releases" to see and download them both). The zip file "Automated Cell tracker" contains three files: Cell Tracker.pxp, CTIPN.ipf and Cell Tracker Instructions.ihf. Before you open the .pxp file, place the .ipf file under the User Procedures file folder and the .ihf file under the Igor Help Files folder. A second zip file "Example Data" contains 30 images from a movie of cells migrating. You can use these files to play around with the program and see how the program tracks cells (just follow instructions for loading the files into the program). Please cite the following if you use this program: McKee CT et.al., Biophysical Journal 2012, 102(5), 1224-1233.</span> <a href="https://www.wavemetrics.com/sites/www.wavemetrics.com/files/images-imported/ScreenShot_1.preview.JPG"><img src="/sites/www.wavemetrics.com/files/styles/content_body/public/images-imported/ScreenShot_1.preview.JPG" width="613" height="300" title="ScreenShot.JPG" typeof="foaf:Image" class="content_body" /> </a> <span class="field-supported-version"> <label>Supported Igor Version</label> <span class="entity-reference">6.20.x</span> </span> <section class="comment-section"> </section> Thu, 16 Feb 2012 23:15:33 +0000 ctmckee 2813 at https://www.wavemetrics.com Expt Procedures https://www.wavemetrics.com/project/Expt_Procedures Expt Procedures <span class="field-os-compatibility"> <span class="entity-reference"><a href="/taxonomy/term/27" hreflang="en">Windows</a></span> </span> <span><a title="View user profile." href="/user/bmcguyer" lang="" about="/user/bmcguyer" typeof="schema:Person" property="schema:name" datatype="">bmcguyer</a></span> <span>Thu, 12/15/2011 - 08:36 am</span> <span class="field-project-type"> <span class="entity-reference"><a href="/taxonomy/term/42" hreflang="en">Data Acquisition</a></span> </span> <span class="body">Template with an experiment file and several procedure files to help simplify data acquisition and management in Igor Pro. Includes generic data-taking routines, a convention for identifying data with unique serial numbers, procedure files to simplify data acquisition (see "DAQ Procedures" Project*) with GPIB, NIDAQ, serial port, and VISA, and procedure files to work with a few common SRS lockin amplifiers and Tektronix oscilloscopes. Each file contains its own documentation, and the experiment file contains a "GettingStarted" notebook. <br /><br /> Some of this template builds on "Alex Procedures," a very useful set of Igor Pro procedures written by Dr. Alexander Johnson while working for Professor Charles Marcus at Harvard. "Alex Procedures" is documented in Appendix D of its author's Ph.D. dissertation, which is available online at:<br /> <a href="http://qdev.nbi.ku.dk/student_theses/pdf_files/A_Johnson_thesis.pdf">http://qdev.nbi.ku.dk/student_theses/pdf_files/A_Johnson_thesis.pdf</a><br /> In particular, "Expt_Data.ipf" and "Expt_Analysis.ipf" were inspired by "alexdata.ipf" and "alexanalysis.ipf", and the "2D-Graph Profile Utility" of "Expt_Graph_Utilities.ipf" is based off a similar feature from "alexanalysis.ipf". <br /> However, this template is not compatible with "Alex Procedures." <br /><br /> For example, "Expt_Data.ipf" provides the functions setval() and getval() to identify different experimental parameters with strings, so that functions like do1d() can sweep arbitrary parameters in order to produce a data set of one or more waves. "Expt_Analysis.ipf" provides conventions for do1d() to assign a unique serial number to the data set, and to archive useful information in the wavenotes of the data waves. This allows you to later use a serial number with shownum() to graph a data set with automatically labeled axes. <br /><br /> This template uses optional conditional computation (#if) to ease sharing between multiple computers. These statements require Igor Pro v6 or higher, and should be commented out for earlier versions. <br /><br /> *Link to "DAQ Procedures": <a href="http://www.igorexchange.com/project/DAQ_Procedures">http://www.igorexchange.com/project/DAQ_Procedures</a></span> <span class="field-supported-version"> <label>Supported Igor Version</label> <span class="entity-reference">5.00.x</span> </span> <section class="comment-section"> </section> Thu, 15 Dec 2011 16:36:05 +0000 bmcguyer 2658 at https://www.wavemetrics.com