Author

Carly Knill

Newcastle University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andrew Fuller· 1 shared Andrew J. FilbyiD· 1 shared Daniel PeraltaiD· 1 shared Emma Ladlow· 1 shared Louise Jane MichaelisiD· 1 shared Maxim LippeveldiD· 1 shared Yvan SaeysiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Andrew Fuller

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1 paper

Recent·Most cited

Classification of human white blood cells using machine learning for stain-free imaging flow cytometry

Maxim Lippeveld, Carly Knill, Emma Ladlow, Andrew Fuller, Louise Jane Michaelis, Yvan Saeys, Andrew J. Filby, Daniel Peralta

This study compares classical machine learning and deep learning for classifying white blood cells using stain-free imaging flow cytometry, achieving balanced accuracies of 0.776 and 0.697 for white blood cells and 0.866 and 0.867 for eosinophils.

Cytometry Part A · Nov 5, 2019Peer-reviewedBioinformatics