Author

K. Mirsanaye

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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Biophysics· 2 Pathology· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 4 Research Focus:cell type annotation· 3 Approach:microscopy & imaging analysis· 3 Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

L. Kontenis· 4 shared V. Barzda· 4 shared A. Golaraei· 3 shared B. C. Wilson· 2 shared E. Zurauskas· 2 shared L. U. Castano· 2 shared M. Akens· 2 shared S. J. Done· 2 shared

Activity by Year

2021-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersPathology

L. Kontenis

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy

K. Mirsanaye, L. U. Castano, Y. Kamaliddin, A. Golaraei, L. Kontenis, E. Zurauskas, R. Navab, K. Yasufuku, M.-S. Tsao, B. C. Wilson, V. Barzda

This paper uses P-SHG microscopy and unsupervised clustering to identify tumor margins in lung tissue by analyzing ECM collagen structure.

bioRxiv · Jul 25, 2022Pathology

Wide-Field Stokes Polarimetric Microscopy for Second Harmonic Generation Imaging

L. U. Castano, K. Mirsanaye, L. Kontenis, S. Krouglov, M. Akens, V. Barzda

This paper introduces a method combining wide-field SHG microscopy and polarimetry to rapidly map ultrastructural features in histology sections.

bioRxiv · Jun 12, 2022Biophysics

Wide-Field Multicontrast Nonlinear Microscopy for Histopathology

L. Uribe Casta\~no, K. Mirsanaye, A. Golaraei, L. Kontenis, S. J. Done, V. Stambolic, M. Akens, B. Wilson, V. Barzda

The paper develops a multicontrast microscope for histopathology imaging, optimizing conditions for H&E stained slides and analyzing collagen organization.

bioRxiv · Apr 16, 2022 · PreprintBiophysics

Machine learning-enabled cancer diagnostics with widefield polarimetric second-harmonic generation microscopy

K. Mirsanaye, L. Uribe Castano, Y. Kamaliddin, A. Golaraei, R. Augulis, L. Kontenis, S. J. Done, E. Zurauskas, B. C. Wilson, V. Barzda

This paper uses machine learning with polarimetric second-harmonic generation microscopy to classify breast tissue as cancerous or normal with high accuracy.

bioRxiv · May 26, 2021Pathology