Marina Marjanovic

About

Marina Marjanovic is an Associate Professor Emerita of Bioengineering at the University of Illinois Urbana-Champaign. She has held multiple positions within the university, including Teaching Associate Professor and Research Professor in the Department of Bioengineering since 2014 and 2021 respectively. She is also an Affiliate Faculty member at the Carle-Illinois College of Medicine and serves as the Associate Director of the Center for Optical Molecular Imaging at the Beckman Institute for Advanced Science and Technology. Her primary research area is biomedical imaging, with specific focus on biomedical imaging, live-cell imaging, optical diagnostics for cancer, and primary care imaging. She has contributed to the field through her work in biomedical imaging research, emphasizing optical techniques and live-cell imaging to advance diagnostics and understanding of health issues.

Research topics

• Computer science
• Medicine
• Chemistry
• Pathology
• Biomedical engineering

Selected publications

• Differentiation of breast tissue types for surgical margin assessment using machine learning and polarization-sensitive optical coherence tomography

  Biomedical Optics Express · 2021-04-29 · 41 citations

  articleOpen access

  We report an automated differentiation model for classifying malignant tumor, fibro-adipose, and stroma in human breast tissues based on polarization-sensitive optical coherence tomography (PS-OCT). A total of 720 PS-OCT images from 72 sites of 41 patients with H&E histology-confirmed diagnoses as the gold standard were employed in this study. The differentiation model is trained by the features extracted from both one standard OCT-based metric (i.e., intensity) and four PS-OCT-based metrics…

  PublisherDOI

• Assessing the severity of psoriasis through multivariate analysis of optical images from non-lesional skin

  Scientific Reports · 2020-06-08 · 31 citations

  articleOpen access

  Patients with psoriasis represent a heterogeneous population with individualized disease expression. Psoriasis can be monitored through gold standard histopathology of biopsy specimens that are painful and permanently scar. A common associated measure is the use of non-invasive assessment of the Psoriasis Area and Severity Index (PASI) or similarly derived clinical assessment based scores. However, heterogeneous manifestations of the disease lead to specific PASI scores being poorly reproducible…

  PublisherOA PDFDOI

• Feature Selection by Improved Sand Cat Swarm Optimizer for Intrusion Detection

  2022 International Conference on Artificial Intelligence in Everything (AIE) · 2022-08-01 · 25 citations

  article

  The rapid growth of number of devices that are connected to internet of things (IoT) networks, increases the severity of security problems that need to be solved in order to provide safe environment for network data exchange. The discovery of new vulnerabilities is everyday challenge for security experts and many novel methods for detection and prevention of intrusions are being developed for dealing with this issue. To overcome these shortcomings, artificial intelligence (AI) can be used in dev…

  PublisherDOI

• Label-free nonlinear optical signatures of extracellular vesicles in liquid and tissue biopsies of human breast cancer

  Scientific Reports · 2024-03-06 · 8 citations

  articleOpen access

  Extracellular vesicles (EVs) have been implicated in metastasis and proposed as cancer biomarkers. However, heterogeneity and small size makes assessments of EVs challenging. Often, EVs are isolated from biofluids, losing spatial and temporal context and thus lacking the ability to access EVs in situ in their native microenvironment. This work examines the capabilities of label-free nonlinear optical microscopy to extract biochemical optical metrics of EVs in ex vivo tissue and EVs isolated from…

  PublisherOA PDFDOI

• Defining Biological Variability, Analytical Precision and Quantitative Biophysiochemical Characterization of Human Urinary Extracellular Vesicles

  Journal of Extracellular Vesicles · 2025-05-01 · 6 citations

  articleOpen access

  ABSTRACT The magnitude of combined analytical errors of urinary extracellular vesicle (uEV) preparation and measurement techniques (CV A ) has not been thoroughly investigated to determine whether it exceeds biological variations. We utilized technical replicates of human urine to assess the repeatability of uEV concentration and size measurements by nanoparticle tracking analysis (NTA) following differential velocity centrifugation (DC), silicon carbide, or polyethylene glycol uEV isolation met…

  PublisherDOI

Frequent coauthors

• Stephen A. Boppart

  University of Illinois System

  222 shared

• Eric J. Chaney

  University of Illinois Urbana-Champaign

  116 shared

• Aneesh Alex

  GlaxoSmithKline (United States)

  67 shared

• Darold R. Spillman

  University of Illinois Urbana-Champaign

  65 shared

• Steve R. Hood

  University of Illinois Urbana-Champaign

  55 shared

• Steven G. Adie

  44 shared

• Haohua Tu

  41 shared

• Janet E. Sorrells

  University of Illinois Urbana-Champaign

  35 shared

Labs

• Everitt LabPI

Awards & honors

• JenLab Young Investigator Award
• 2022 McGinnis Medical Innovation Graduate Student Fellowship

Similar researchers at University of Illinois Urbana-Champaign

• Shuming Nieh-128
• Yi Luh-117