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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| 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 |