Scholars@Duke
Nimmi Ramanujam

Nimmi Ramanujam

Robert W. Carr, Jr., Distinguished Professor of Biomedical Engineering
Biomedical Engineering
Box 90281, 1427 FCIEMAS, Durham, NC 27708-0281
367 Gross Hall, 140 Science Drive, Durham, NC 27708

Scholarly Works - Datasets

Design and preliminary analysis of a vaginal inserter for speculum-free cervical cancer screening

Dataset · May 5, 2017 Abstract: Cervical cancer screening usually requires use of a speculum to provide a clear view of the cervix. The speculum is one potential barrier to screening due to fear of pain, discomfort and embarrassment. The aim of this paper is to present and demo ... Full text Cite

Structured Illumination Microscopy and a Quantitative Image Analysis for the Detection of Positive Margins in a Pre-Clinical Genetically Engineered Mouse Model of Sarcoma.

Dataset · 2016 Intraoperative assessment of surgical margins is critical to ensuring residual tumor does not remain in a patient. Previously, we developed a fluorescence structured illumination microscope (SIM) system with a single-shot field of view (FOV) of 2.1 × 1.6 m ... Full text Open Access Link to item Cite

Data from: Design of a novel low cost point of care tampon (POCkeT) colposcope for use in resource limited settings

Dataset · May 15, 2015 Current guidelines by WHO for cervical cancer screening in low- and middle-income countries involves visual inspection with acetic acid (VIA) of the cervix, followed by treatment during the same visit or a subsequent visit with cryotherapy if a suspicious ... Cite

Data for manuscript "A Quantitative Diffuse Reflectance Imaging (QDRI) System for Comprehensive Surveillance of the Morphological Landscape in Breast Tumor Margins"

Dataset · March 3, 2015 This repository contains the clinical patient data, along with representative images and mat files, of the data for the manuscript submitted to PLOS ONE entitled "A Quantitative Diffuse Reflectance Imaging (QDRI) System for Comprehensive Surveillance of th ... Open Access Cite

Data set for "Quantitative segmentation of fluorescence microscopy images of heterogeneous tissue: Application to the detection of residual disease in tumor margins"

Dataset · March 12, 2013 This is data that is published in the article "Quantitative segmentation of fluorescence microscopy images of heterogeneous tissue: Application to the detection of residual disease in tumor margins". ... Open Access Cite