Identification of Model Particle Mixtures Using Machine-Learning-Assisted Laser Diffraction
, Mario A. Quiroz-Juárez 2,3, Alfred B. U’Ren 2, Juan P. Torres 1,4 and Roberto de J. León-Montiel 2Round 1
Reviewer 1 Report
see attachment
Comments for author File: 
Comments.pdf
Author Response
We thank the reviewer for their comments about our work. Please find in the PDF file attached our one-by-one response to the points addressed in the review report.
Kind regards,
Arturo Villegas on behalf of all authors
Author Response File: Author Response.pdf
Reviewer 2 Report
See attached file.
Comments for author File: Comments.pdf
Author Response
We thank the reviewer for their comments about our work. Please find in the PDF file attached our one-by-one response to the points addressed in the review report.
Kind regards,
Arturo Villegas on behalf of all authors
Author Response File: Author Response.pdf
Reviewer 3 Report
The authors presented machine learning assisted laser diffraction method to differentiate particle mixtures with the results from confusion matrices illustrating an overall accuracy greater than 92%. Background information (conventional light scattering techniques and machine learning methods) are given in the introduction, and the conclusion is supported by experimental results. There are a few points I would recommend the authors to edit before being accepted for publication:
- Please start with section 1 as Introduction, followed by section 2 (Experimental Methods).
- Include scale bar in Figure 2, if applicable.
- In Equation 1, is the diffraction pattern measurement based on intensity (I)? Please include the definition on Lines 183-185.
- In Figure 4, what are the error bars stand for (standard deviations)? Please include the identification accuracy values in the discussion on Lines 202-206.
- In Table 3, for training and test computation times, please try using scientific notation to keep the format consistent.
Author Response
We thank the reviewer for their comments about our work. Please find in the PDF file attached our one-by-one response to the points addressed in the review report.
Kind regards,
Arturo Villegas on behalf of all authors
Author Response File: Author Response.pdf
