Assessment of sampling adequacy using persistent homology for the evaluation of heterogeneity in 3D histology acquired through inverted selective plane illumination microscopy (iSPIM)

Peter Lawson; Bihe Hu; Brittany Terese Fasy; Brian Summa; Carola Wenk; J. Quincy Brown

doi:10.1117/12.2527959

19 July 2019 Assessment of sampling adequacy using persistent homology for the evaluation of heterogeneity in 3D histology acquired through inverted selective plane illumination microscopy (iSPIM)

Peter Lawson, Bihe Hu, Brittany Terese Fasy, Brian Summa, Carola Wenk, J. Quincy Brown

Author Affiliations +

Proceedings Volume 11073, Clinical and Preclinical Optical Diagnostics II; 1107316 (2019) https://doi.org/10.1117/12.2527959
Event: European Conferences on Biomedical Optics, 2019, Munich, Germany

Abstract

Diagnoses performed on the basis of histopathological evaluation depend on the premise that information derived from a small number of samples is valid for the entire tissue volume. By insufficiently sampling a biopsy volume the ability of pathologists to draw meaningful inferences from the sample is impeded. This work attempts to apply an information theoretic approach to biopsy sampling rates informed by variation in tissue morphology identified by persistent homology. By quantifying the diagnostic information present in a sample may be possible to prevent under sampling by the clinician by creating a “Nyquist limit" for histopathological sampling given the frequency of morphologically distinct regions in a single biopsy.

Citation Download Citation

Peter Lawson, Bihe Hu, Brittany Terese Fasy, Brian Summa, Carola Wenk, and J. Quincy Brown "Assessment of sampling adequacy using persistent homology for the evaluation of heterogeneity in 3D histology acquired through inverted selective plane illumination microscopy (iSPIM)", Proc. SPIE 11073, Clinical and Preclinical Optical Diagnostics II, 1107316 (19 July 2019); https://doi.org/10.1117/12.2527959

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available