Author

B. Migliori

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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Cell Biology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

D. Paull· 2 shared j. Goldberg· 2 shared A. Daigavane· 1 shared a. Duren-Lubancki· 1 shared A. Duren-Lubanski· 1 shared A. Geraschenko· 1 shared A. Gracias· 1 shared A. I. Teixeira· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersCell Biology

D. Paull

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Highly-Efficient, Scalable Pipeline for Fixed Feature Extraction from Large-Scale High-Content Imaging Screens

G. Comolet, N. Bose, J. M. Winchell, a. Duren-Lubancki, T. Rusielewicz, g. Horn, j. Goldberg, D. Paull, B. Migliori

ScaleFExSM is a scalable pipeline for extracting interpretable features from high-content imaging data, improving drug response analysis and disease profiling.

bioRxiv · Jul 6, 2023Cell Biology

Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts

L. Schiff, B. Migliori, Y. Chen, D. Carter, C. Bonilla, J. Hall, M. Fan, E. Tam, S. Ahadi, B. Fischbacher, A. Geraschenko, C. J. Hunter, S. Venugopalan, S. DesMarteau, A. Narayanaswamy, , Yang

This study develops a platform combining deep learning and high-content imaging to identify disease-specific phenotypes in Parkinson's fibroblasts, achieving high accuracy in distinguishing disease subtypes.

bioRxiv · Nov 13, 2020Cell Biology

Live detection of neural stem and glioblastoma cells by an oligothiophene derivative

S. Ilkhanizadeh, A. Gracias, A. K. Aslund, M. Back, R. Simon, V. Rraklli, B. Migliori, E. Kavanagh, S. Nelander, B. Westermark, L. Uhrbom, K. Forsberg-Nilsson, A. I. Teixeira, P. Konradsson, P. Uhlen, , P. R. Nilsson

This study introduces p-HTMI, an oligothiophene derivative that selectively detects live human glioblastoma and neural stem cells in vitro and in vivo.

bioRxiv · Mar 18, 2019 · PreprintBioengineering