Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision - Pharma Excipients
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Machine vision-based non-destructive dissolution prediction of
![](https://ars.els-cdn.com/content/image/1-s2.0-S0378517324002473-gr8.jpg)
Machine vision-based non-destructive dissolution prediction of
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Flow chart of this research.
![](https://www.europeanpharmaceuticalreview.com/wp-content/uploads/particle-size-distribution.jpg)
MIT unlocks real-time powder particle size distribution monitoring
![](https://ars.els-cdn.com/content/image/1-s2.0-S037851732101187X-ga1.jpg)
Investigating key properties of model excipients and binary powder
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Artificial intelligence generates novel 3D printing formulations
![](https://pub.mdpi-res.com/pharmaceuticals/pharmaceuticals-16-00733/article_deploy/html/images/pharmaceuticals-16-00733-g006.png?1684132119)
Pharmaceuticals, Free Full-Text
![](https://pub.mdpi-res.com/pharmaceuticals/pharmaceuticals-16-01658/article_deploy/html/images/pharmaceuticals-16-01658-ag.png?1701181622)
Pharmaceuticals, Free Full-Text
An investigation into the effects of excipient particle size