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KEYMACRO is a hardware (H/W) generator to make the key for the second level session.
The NMM TVCaster SDK has two function calls to make the key as follow:
* static key is generated by using the macro value (user entry)
* dynamic key is generated by using the macro value (user entry)
In addition, we provided a few more static key values to support different usage, such as:
* uniqueID
* key_id_template
* mac
* keyfile_name
* macfile_name
* macfile_extension
* macname
* mackeyfile_name
* mackeyfile_extension
* macname
* mac_id
* mac_id_template
In addition, we provided a few more dynamic key value to support different usage, such as:
* recordmac
* registermac
* reg_dynamic_mac
* reg_dynamic_mac_single_string
* reg_dynamic_mac_array
In addition, we provide the following parameters that can be set in the project.xml file.
* sessionID (must set the value)
* sessionID_template (must set the value)
* static_key (must set the value)
* dynamic_key (must set the value)
* sessionID_array (must set the value)
* recordmac_array (must set the value)
* registermac_array (must set the value)
* reg_dynamic_mac_array (must set the value)
NOTE: The supported types are, in priority:
* string
* byte array
* int array
* short array
* long array
* short or long
* string array
To use the NMM TVCaster SDK in your application, just add the following three files to your project:
* tvcaster_core.jar
* tvcaster_model.jar
* tvcaster_utils.jar
You should also make sure that your project settings are set as follows:
* Project Library Type (default=External Jar)
* Project Activity (default=main)
* Project Classpath (default=all libraries)
* In your application you can set the macro values using these file attributes:
* macro_variable (must set the value)
* macro_variable_static (must set the value)
* macro_variable_ 70238732e0

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The CellProfiler software is a collection of over 100 macros and pipelines to measure and quantify over 600 complex and multiplexed phenotypes across thousands of images. CellProfiler’s approach to image analysis is designed to overcome some of the most common issues that confront biologists working with digital images.
Macros are essentially scripts that execute on a computer. As with all computer programming, there is no universal answer to the problem. If a macro fails, no matter how easy it seems, the script will fail, requiring some human interaction to correct it.
During the license download, you will find a number of licenses for each of the three different platforms. The keymacro is included on the C++ Platform and the Python Platform. It is not included on the Java Platform.
A keymacro license includes the download of CellProfiler version 4.3.0 or later, which includes the C++, Python, and Java versions of the macro (and the corresponding version of each of the corresponding plugins) needed to execute it. The keymacro license includes the private repository of private macros, the repository of each of the three keymacro licenses, and the JAR files containing the installed plugins.
The cellprofiler.org website has tutorials for each platform, including information on how to install the C++, Python, and Java plugins.
The main user manual is located on cellprofiler.org. There is a large number of references on the website for the plugins that are available on the site.
Running Macros:
The following operating systems are supported:
Microsoft Windows
A summary of the features of the different versions of CellProfiler is available.


(expires: May 10, 2020)

from $5.00


Includes 15 macros to automate the measurement and analysis of hundreds of biological processes. Includes pipelines to segment, measure, quantify, and compute the mean, median, mode, standard deviation, coefficients of variation (CV), variance, skewness, kurtosis, maximum, minimum, and more.

Keymacro provides a suite of macros to enable automatic analysis of cell image data, including support for random forests, machine learning, and object-based colocalization analysis.

Keymacro provides an extensive collection of macros to automate the measurements of hundreds of biological processes. This software is designed for biological research, where many


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