A Novel Digital Fingerprinting Tool for Histopathology assessment Leveraging AI on Fresh Biopsy and Resection Tissues: A Feasibility Study using Gastrointestinal Tissues

Sunil Gaddam; Poulami Samaddar; Keerthy Gopalakrishnan; Mansunderbir Singh; Priyanka Anvekar; Suganti Shivaram; Shuvashis Dey; Sayan Roy; Dipankar Mitra; Shivaram P Arunachalam

doi:10.20944/preprints202310.1270.v1

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preprints.org > engineering > electrical and electronic engineering > doi: 10.20944/preprints202310.1270.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Novel Digital Fingerprinting Tool for Histopathology assessment Leveraging AI on Fresh Biopsy and Resection Tissues: A Feasibility Study using Gastrointestinal Tissues

Sunil Gaddam

Poulami Samaddar

Keerthy Gopalakrishnan

^* ,

Shivaram P Arunachalam

Version 1 : Received: 19 October 2023 / Approved: 19 October 2023 / Online: 19 October 2023 (11:31:11 CEST)

How to cite: Gaddam, S.; Samaddar, P.; Gopalakrishnan, K.; Singh, M.; Anvekar, P.; Shivaram, S.; Dey, S.; Roy, S.; Mitra, D.; Arunachalam, S.P. A Novel Digital Fingerprinting Tool for Histopathology assessment Leveraging AI on Fresh Biopsy and Resection Tissues: A Feasibility Study using Gastrointestinal Tissues. Preprints 2023, 2023101270. https://doi.org/10.20944/preprints202310.1270.v1 Gaddam, S.; Samaddar, P.; Gopalakrishnan, K.; Singh, M.; Anvekar, P.; Shivaram, S.; Dey, S.; Roy, S.; Mitra, D.; Arunachalam, S.P. A Novel Digital Fingerprinting Tool for Histopathology assessment Leveraging AI on Fresh Biopsy and Resection Tissues: A Feasibility Study using Gastrointestinal Tissues. Preprints 2023, 2023101270. https://doi.org/10.20944/preprints202310.1270.v1

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MDPI and ACS Style

Gaddam, S.; Samaddar, P.; Gopalakrishnan, K.; Singh, M.; Anvekar, P.; Shivaram, S.; Dey, S.; Roy, S.; Mitra, D.; Arunachalam, S.P. A Novel Digital Fingerprinting Tool for Histopathology assessment Leveraging AI on Fresh Biopsy and Resection Tissues: A Feasibility Study using Gastrointestinal Tissues. Preprints 2023, 2023101270. https://doi.org/10.20944/preprints202310.1270.v1

APA Style

Gaddam, S., Samaddar, P., Gopalakrishnan, K., Singh, M., Anvekar, P., Shivaram, S., Dey, S., Roy, S., Mitra, D., & Arunachalam, S.P. (2023). A Novel Digital Fingerprinting Tool for Histopathology assessment Leveraging AI on Fresh Biopsy and Resection Tissues: A Feasibility Study using Gastrointestinal Tissues. Preprints. https://doi.org/10.20944/preprints202310.1270.v1

Chicago/Turabian Style

Gaddam, S., Dipankar Mitra and Shivaram P Arunachalam. 2023 "A Novel Digital Fingerprinting Tool for Histopathology assessment Leveraging AI on Fresh Biopsy and Resection Tissues: A Feasibility Study using Gastrointestinal Tissues" Preprints. https://doi.org/10.20944/preprints202310.1270.v1

Abstract

Digitization of tissues allows examination of tissue morphologies in new ways enabling patient stratification for effective treatments. Current slide-scanning techniques capture the visible details of the tissue as whole-slide images and digitally record them in the form of spatial and color relationships. Specialized experimental techniques like Dielectric spectroscopy can also be used to investigate a tissue’s response to an applied electric field. This study used the dielectric spectroscopy method to collect the complex permittivity of healthy and abnormal biopsy tissues excised during gastroenterology procedures. A single pole Cole-Cole model is fitted to the measurements dataset to extract the parameters which are used as features in machine learning binary classification models. The models achieved high accuracy, demonstrating the feasibility of using microwave-based spectroscopy measurements to create a digital dielectric fingerprint for tissues under investigation.

Keywords

dielectric fingerprint; dielectric spectroscopy; microwaves; gastrointestinal; microwave imaging

Subject

Engineering, Electrical and Electronic Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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