# Potential of Deep Learning Methods for Deep Level Particle Characterization in Crystallization
## 5 Summary and Outlook
; Supervision, administration and review, F.W. and K.W. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. The authors declare no conflict of interest. The following abbreviations are used in this manuscript. Ag  
M2_1 Method 1 (two-class task)  
M3_1 Method 1 (three-class task)  
M3_2 PP Method 2 with Post-Processing  
pcag Primary Crystals in Agglomerates  
PSD Particle Size Distribution  
RCNN Region-based Convolutional Neural Network  
sc Single Crystal  
SVM Support Vector Machine
* [PERSON] et al. (2004) [PERSON]; [PERSON]; [PERSON] Agglomeration of Paracetamol during Crystallization in Pure and Mixed Solvents. _Ind. Eng. Chem. Res._**2004**, _43_, 629-637. [CrossRef]
* [PERSON] (2000) [PERSON]; [PERSON] _Crystallization_; Academic Press: London, UK, 2000. * [PERSON] et al. (2005) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Toward a molecular understanding of crystal agglomeration. _Cryst. Growth Des._**2005**, \(5\), 3-16. [CrossRef]
* [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Using an online image analysis technique to characterize sucrose crystal morphology during a crystallization run. _Ind. Eng. Chem. Res._**2011**, _50_, 6990-7002. [CrossRef]
* [PERSON] and [PERSON] (2000) [PERSON]; [PERSON] [PERSON] Aggregation during precipitation from solution: An experimental investigation using Poiseuille flow. _Chem. Eng. Sci._**2000**, _55_, 5671-5681. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Development of Screening Methodology for the Assessment of the Agglomeration Potential of APIs. _Org. Process Res. Dev._**2016**, _20_, 1500-1508. [CrossRef]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON] Sequential Crystallization Parameter Estimation Method for Determination of Nucleation, Growth, Breakage, and Agglomeration Kinetics. _Ind. Eng. Chem. Res._**2018**, _57_, 1370-1379. [CrossRef]
* [PERSON] and [PERSON] (2013) [PERSON]; [PERSON] [PERSON] Modeling induced nucleation processes during batch cooling crystallization: A sequential parameter determination procedure. _Comput. Chem. Eng._**2013**, _52_, 216-229. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] [PERSON] Discrimination between Single Crystals and Agglomerates during the Crystallization Process. _Chem. Eng. Technol._**2018**, _41_, 1218-1225. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Measurement of agglomeration during crystallization: Is the differentiation of aggregates and agglomerates via ultrasonic irradiation possible? _Chem. Eng. Sci._**2019**, _210_, 115-214. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] R-CNN. _IEEE Trans. Pattern Anal. Mach. Intell._**2017**, _42_, 386-397. [CrossRef] [PubMed]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Shape-independent particle classification for discrimination of single crystals and agglomerates. _Powder Technol._**2019**, _345_, 425-437. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] Application of inline imaging for monitoring crystallization process in a continuous oscillatory baffed crystallizer. _AIChE J._**2018**, _64_, 2450-2461. [CrossRef]
* [PERSON] (2016) [PERSON]; [PERSON] Impact of agglomeration on crystalline product quality within the crystallization process chain. _Cryst. Res. Technol._**2016**, _51_, 513-523. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] Applications of machine vision in pharmaceutical technology: A review. _Eur. J. Pharm. Sci._**2021**, _159_, 105717. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Image based measurement of population growth rate for l-glutamic acid crystallization. In Proceedings of the 2019 Chinese Control Conference (CCC), Guangzhou, China, 27-30 July 2019; pp. 7933-7938.