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 # Summary
 
-- This is a comprehensive MATLAB-based software platform developed for real-time measurement and feedback control of a custom mask-projection photopolymerization based additive manufacturing system (referred as "ECPL", i.e., Exposure Controlled Projection Lithography) using a lab-built interferometry (referred as "ICM&M", i.e., Interferometric Curing Monitoring and Measurement). A graphical user interface using the graphical user interface development environment (GUIDE) of MATLAB was created to implement the ICM&M method for the ECPL process. The software interfaces with the hardware of the ECPL system’s ultraviolet lamp and DMD, and the ICM&M system’s camera. It was designed to streamline the operation of the ECPL process with the aid of parallel computing that implements online both the ICM&M acquisition and measurement analysis as well as the feedback control method. The application logs the acquired interferogram video data, performs numerical computations for the ICM&M measurement algorithms and control law, saves the real-time data and measurement results for all voxels in the region of interest. Meanwhile, it displays interferogram frames and visualize the photocuring process without a substantial sacrifice in temporal performance of other key functions such as data acquisition and measurement & control analysis. 
+- This is a comprehensive MATLAB-based software platform developed for real-time measurement and feedback control [@FeedbackCtrl] of a custom mask-projection photopolymerization based additive manufacturing system (referred as "ECPL", i.e., Exposure Controlled Projection Lithography [@DissertationXYZ]) using a lab-built interferometry (referred as "ICM&M", i.e., Interferometric Curing Monitoring and Measurement [@SensorModel, @SensorAlgorithms, @SensorValidate]). A graphical user interface using the graphical user interface development environment (GUIDE) of MATLAB was created to implement the ICM&M method for the ECPL process. The software interfaces with the hardware of the ECPL system’s ultraviolet lamp and DMD, and the ICM&M system’s camera. It was designed to streamline the operation of the ECPL process with the aid of parallel computing that implements online both the ICM&M acquisition and measurement analysis as well as the feedback control method. The application logs the acquired interferogram video data, performs numerical computations for the ICM&M measurement algorithms [@SensorAlgorithms] and control law [@FeedbackCtrl], saves the real-time data and measurement results for all voxels in the region of interest. Meanwhile, it displays interferogram frames and visualize the photocuring process without a substantial sacrifice in temporal performance of other key functions such as data acquisition and measurement & control analysis. 
 
 - The software could be extended to real-time process measurement and control for other additive manufacturing systems, for example, stereo-lithography (SLA) and metal based additive manufacturing aided by in-situ thermal images analysis.
 
-- Related reference publications about the ECPL additive manufacturing system design, the ICM&M principle and validation, the real-time experiment results are listed below (in the references section). The software presented here is the backbone of the physical implementation of the ECPL process measurement and feedback control.
+- Related reference publications about the ECPL additive manufacturing system design, the ICM&M principle and validation, the real-time experiment results are listed below (in the “paper.bib”). The software presented here is the backbone of the physical implementation of the ECPL process measurement and feedback control.
 
 - Demo videos of how to use the software, examples and corresponding metadata are provided in this repository’s folder of “Examples-Metadata”.
 
 - The document “paper.pdf” contains: (1) the research application that is associated with the software; (2) details about the software design, functions, and flowchart; (3) implementation examples.
 
-
-# References
-
-1.	X. Zhao and D. Rosen, “Real-time Interferometric Monitoring and Measuring of photopolymerization based stereolithographic additive manufacturing process: sensor model and algorithm”, Measurement Science and Technology, Vol 28, Issue 1, 2016. doi:10.1088/0957-0233/28/1/015001. (http://dx.doi.org/10.1088/0957-0233/28/1/015001).
-2.	X. Zhao and D. Rosen, “A data mining approach of real-time process measurement for polymer additive manufacturing with the exposure controlled projection lithography”, Journal of Manufacturing Systems, Special Issue: Cybermanufacturing. doi:10.1016/j.jmsy.2017.01.005. (http://dx.doi.org/10.1016/j.jmsy.2017.01.005).
-3.	X. Zhao and D. Rosen, “Experimental validation and characterization of a real-time metrology system for photopolymerization based stereolithographic additive manufacturing process”, International Journal of Advanced Manufacturing Technology, Dec 2016. doi:10.1007/s00170-016-9844-1. (http://dx.doi.org/10.1007/s00170-016-9844-1)
-4.	X. Zhao and D. Rosen, “Parallel computing enabled real-time interferometric measurement and feedback control for a photopolymer based lithographic additive manufacturing process”, Mechatronics, Special Issue: Mechatronics and Additive Manufacturing. (July 2017: in review)
-5.	X. Zhao, “Process Measurement and Control for Exposure Controlled Projection Lithography”. Ph.D. Dissertation, Mechanical Engineering, Georgia Institute of Technology, Atlanta, USA, 2017. Available on https://smartech.gatech.edu/handle/1853/58294
-6.	X. Zhao and D. Rosen, “Simulation Study on Evolutionary Cycle to Cycle Time Control of Exposure Controlled Projection Lithography”, Rapid Prototyping Journal, Vol 22, Issue 3, 2016, pp 456-464. doi: 10.1108/RPJ-01-2015-0008. doi:10.1108/RPJ-01-2015-0008. (http://dx.doi.org/10.1108/RPJ-01-2015-0008)