Peer-reviewed journals

Lakatos, K et al., “Application of a novel microscopic technique for quantifying CA125 binding to circulating mononuclear specimens during treatment for ovarian cancer” J Ovarian Res. 202215(1), 28;

Gonzlez, G et al., “Characterization of Cell-Bound CA125 on Immune Cell Subtypes of Ovarian Cancer Patients Using a Novel Imaging Platform” Cancers 202113(9), 2072;

Peng, F et al., “Assessment of Glial Fibrillary Acidic Protein Binding to the Surface of Leukocytes with Dark-Field Imaging and Computational Analysis” Adv. Funct. Mater., vol. 2009229, pp. 1–9, 2021, doi: 10.1002/adfm.202009229.

Jeong, S. et all “Plasmonic Nanoparticle-based Digital Cytometry to Quantify MUC16 Binding on the Surface of Leukocytes in Ovarian Cancer”  ACM Sensors. 2020 Sep 25;5(9):2772-2782. doi: 10.1021/acssensors.0c00567.

González, G and Evans, C. “Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline.” Bioessays. 2019. (41)(6) 1900004 doi: 10.1002/bies.201900004

Peer reviewed conference abstracts

S. Jeong et al.  “Highly sensitive and reliable plasmonic nanoparticle-based digital cytometry for quantification of MUC16 binding on the surface of leukocytes ”(Conference Presentation), Proc. SPIE 11254, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XVII, 112540R (10 March 2020)

J. Hoballah et al. “Quantification of Low Abundance White Cell Surface Molecules in Ovarian Cancer by Dark Field and Fluorescence Microscopy,” in Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP), The Optical Society (Optical Society of America, 2019), paper JW4C.1. 

S. Jeong et al.  “A Low Abundance Cell Surface Molecule Quantification Method to Explore the Leukocyte Cell Surface as an Active Immune Compartment in Ovarian Cancer”. Cyto2017 Conference.