Combining Machine Learning and Backgrounded Membrane Imaging: A case Study in Comparing and Classifying Different types of Biopharmaceutically Relevant Particles

This study investigates how backgrounded membrane imaging (BMI) can be used in combination with convolutional neural networks (CNNs) in order to quantitatively and qualitatively study subvisible particles in both protein biopharmaceuticals and samples containing synthetic model particles. BMI requir...

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Detalles Bibliográficos
Autores principales: Calderon, Christopher P., Levačić, Ana Krhač, Helbig, Constanze, Wuchner, Klaus, Menzen, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391316/
https://www.ncbi.nlm.nih.gov/pubmed/35661758
http://dx.doi.org/10.1016/j.xphs.2022.05.022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391316/
https://www.ncbi.nlm.nih.gov/pubmed/35661758
http://dx.doi.org/10.1016/j.xphs.2022.05.022

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