Author: Steven Graham Adie
May 2020: Congratulations Dr. Jeffrey Mulligan and other graduates!!
April 2020: Lin presents talk at (online) OSA Biophotonics Congress
Lin’s talk was entitled “High-throughput lightsheet optical manipulation and measurement with optical coherence tomography”. Further details can be found at https://www.osapublishing.org/abstract.cfm?uri=OCT-2020-OTu1E.4.
April 2020: Jeff passes his B-exam!
Mar 2020: Lu (Fischbach Lab) and Jeff’s paper accepted in Advanced Functional Materials!
The paper, entitled “Obesity-associated Adipose Stromal Cells Promote Invasion of Premalignant Breast Cancer Cells Through ECM Remodeling”, used 4D-OCM to quantify differences in cell-induced extracellular matrix (ECM) deformations between tumor spheroids co-cultured with lean vs. obese adipose stromal cells (ASCs).
Feb 2020: Jeff and Nikki present talks at SPIE Photonics West on TF-OCM and PF-OCE
Jeffrey A. Mulligan, Lu Ling, Claudia Fischbach-Tesch, Steven G. Adie, “4D traction force optical coherence microscopy for the analysis of tumor spheroid growth and invasion in collagen”.
Nichaluk Leartprapun, Yuechuan Lin, and Steven G. Adie, “Photonic force optical coherence elastography for spectroscopic microrheological quantification of hydrogel viscoelasticity”.
Oct 2019: Meiqi’s paper on computed OCM of mouse brain accepted in Journal of Biomedical Optics!
The paper, entitled “Computed optical coherence microscopy of mouse brain ex vivo“, utilizes computational adaptive optics to reconstruct high-resolution volumes from 4X fewer datasets than standard focus-shifting optical coherence microscopy.
Oct 2019: Nikki’s ARF-OCE paper published in Biomedical Optics Express!
The paper, entitled “Spatial localization of mechanical excitation affects spatial resolution, contrast, and contrast-to-noise ratio in acoustic radiation force optical coherence elastography“, shows that localized ARF excitation with a smaller acoustic focal spot size results in strain elastograms with superior spatial resolution, contrast, and contrast-to-noise ratio.