J. Quincy Brown
Assistant Professor, Biomedical Engineering & Tulane Cancer Center Program Member in the Clinical & Translational Research Program
Areas of Expertise
Biography
Dr. Brown obtained his Ph.D. in biomedical engineering from Louisiana Tech University in 2005. As a graduate student, he pioneered the development of nano-engineered optical enzymatic glucose micro sensors for application to diabetic monitoring. He then moved to the Duke University Department of Biomedical Engineering, where he was a postdoctoral NRSA fellow (NCI), eventually being promoted to assistant research professor. During his tenure at Duke, Dr. Brown focused on applications of quantitative tissue spectroscopy and optical imaging for improving breast cancer patient outcomes. This included clinical investigations into the link between molecular subtype and tumor vascular oxygenation in vivo, and the use of quantitative diffuse optical imaging for intraoperative detection of residual cancer on the margins of tumor resection specimens. He moved to Tulane in 2012, where he is continuing translational research into the development and use of high-throughput fluorescence-enhanced optical microscopy for detection of positive surgical margins, ischemia and re-perfusion monitoring during partial nephrectomy, and sensing of the tumor microenvironment.
Education
Duke University
Louisiana Tech University
Louisiana Tech University
Articles
Enhanced resolution 3D digital cytology and pathology with dual-view inverted selective plane illumination microscopy.
2019
The current gold-standard histopathology for tissue analysis is destructive, time consuming, and limited to 2D slices. Light sheet microscopy has emerged as a powerful tool for 3D imaging of tissue biospecimens with its fast speed and low photo-damage, but usually with worse axial resolution and complicated configuration for sample imaging.
Bright G-Quadruplex Nanostructures Functionalized with Porphyrin Lanterns.
2019
The intricate arrangement of numerous and closely placed chromophores on nanoscale scaffolds can lead to key photonic applications ranging from optical waveguides and antennas to signal-enhanced fluorescent sensors. In this regard, the self-assembly of dye-appended DNA sequences into programmed photonic architectures is promising. However, the dense packing of dyes can result in not only compromised DNA assembly (leading to ill-defined structures and precipitates) but also to essentially nonfluorescent systems (due to π-π aggregation).
Ex Vivo Microscopy: A Promising Next-Generation Digital Microscopy Tool for Surgical Pathology Practice.
2019
The rapid evolution of optical imaging modalities in recent years has opened the opportunity for ex vivo tissue imaging, which has significant implications for surgical pathology practice. These modalities have promising potential to be used as next-generation digital microscopy tools for examination of fresh tissue, with or without labeling with contrast agents.
Persistent Homology for the Quantitative Evaluation of Architectural Features in Prostate Cancer Histology.
2019
The current system for evaluating prostate cancer architecture is the Gleason grading system which divides the morphology of cancer into five distinct architectural patterns, labeled 1 to 5 in increasing levels of cancer aggressiveness, and generates a score by summing the labels of the two most dominant patterns.
Comparison of visible and UVA phototoxicity in neural culture systems micropatterned with digital projection photolithography.
2019
Photopolymerization provides a favorable method for hydrogel formation due to its simplicity, convenience, and versatility. However, the light exposure required to initiate photopolymerization is known to have a cytotoxic effect on encapsulated cells. Here, a 3D in vitro model of the nervous system microenvironment, micropatterned through the use of digital projection photolithography using a single hydrogel formulation that cross-links similarly under ultraviolet A (UVA, 315-400 nm) and visible light (400-700 nm) exposure, is presented.
