Update paper.md

Author: sajjad88

paper/paper.md

@@ -5,7 +5,7 @@ tags:
   - super resolution microscopy
   - instrument control
 authors:
-  - name: Sajjad Khan
+  - name: Sajjad A. Khan
     orcid: 0000-0002-6910-5199
     affiliation: "1, 2" # (Multiple affiliations must be quoted)
   - name: Sandeep Pallikkuth
@@ -63,7 +63,7 @@ An example of MIC’s utility is demonstrated through a custom-built Sequential
 
 MIC is designed to operate with HDF5 (Hierarchical Data Format) files which efficiently store very large datasets. The HDF5 format is particularly useful for storing large datasets, as it allows for efficient data storage and retrieval. This is especially important for single molecule fluorescence imaging, where large amounts of data are generated during experiments. The HDF5 format is also supported by MATLAB, which makes it easy to import and analyze data stored in this format. 
 
-There are a few other software packages that allow users to control and synchronize multiple hardware components for microscopy applications. Notable examples include Micro-Manager [@Edelstein2010], based in Java, and PYME (the PYthon Microscopy Environment) [@PYME2020], based in the Python environment.  Potential users of MIC are encouraged to compare and contrast MIC with these packages to assess what might be best for their particular development environment. Micro-Manager is a customizable platform for controlling microscopy systems, supporting a wide range of hardware devices, and is primarily built on Java. Micro-Manager comes with its own GUI. Micro-Manager can save files in three formats: separate image files, Image file stack (OME-Tiffs) and NDTiff. Micro-Manager may be a good choice for those who primarily use ImageJ/Fiji for image analysis. PYME is designed to facilitate image acquisition and data analysis in microscopy, with a focus on super-resolution techniques like PALM, STORM, and PAINT. It runs on multiple platforms, including Windows, Linux, and OSX. PYME comprises several key components: PYMEAcquire for microscope and camera control, PYMEVisualize for visualizing localization data sets, and PYMEImage for viewing and processing raster images. PYME is compatible with a variety of data formats, including its proprietary .pzf format as well as standard formats such as .tif. Additionally, PYME supports metadata in multiple formats, including .json, .md, and .xml.
+There are a few other software packages that allow users to control and synchronize multiple hardware components for microscopy applications. Notable examples include Micro-Manager [@Edelstein2010], based in Java, PYME (the PYthon Microscopy Environment) [@PYME2020], based in the Python environment, and [LSMAQ](https://github.com/danionella/lsmaq) which is a lightweight and flexible laser scanning microscope acquisition software written in MATLAB. It supports National Instruments hardware for galvo-based scanning.  Potential users of MIC are encouraged to compare and contrast MIC with these packages to assess what might be best for their particular development environment. Micro-Manager is a customizable platform for controlling microscopy systems, supporting a wide range of hardware devices, and is primarily built on Java. Micro-Manager comes with its own GUI. Micro-Manager can save files in three formats: separate image files, Image file stack (OME-Tiffs) and NDTiff. Micro-Manager may be a good choice for those who primarily use ImageJ/Fiji for image analysis. PYME is designed to facilitate image acquisition and data analysis in microscopy, with a focus on super-resolution techniques like PALM, STORM, and PAINT. It runs on multiple platforms, including Windows, Linux, and OSX. PYME comprises several key components: PYMEAcquire for microscope and camera control, PYMEVisualize for visualizing localization data sets, and PYMEImage for viewing and processing raster images. PYME is compatible with a variety of data formats, including its proprietary .pzf format as well as standard formats such as .tif. Additionally, PYME supports metadata in multiple formats, including .json, .md, and .xml.