All Publications


  • A Causal Feeling: How Kinesthetic Haptics Affects Causal Perception Chase, E. Z., Wolff, P., Gerstenberg, T., Follmer, S., IEEE IEEE. 2021: 347
  • Learning Vibes: Communication Bandwidth of a Single Wrist-Worn Vibrotactile Actuator Chase, E. Z., Israr, A., Preechayasomboon, P., Sykes, S., Gupta, A., Hartcher-O'Brien, J., IEEE IEEE. 2021: 421-426
  • High-Throughput, Protein-Targeted Biomolecular Detection Using Frequency-Domain Faraday Rotation Spectroscopy SMALL Murdock, R. J., Putnam, S. A., Das, S., Gupta, A., Chase, E. Z., Seal, S. 2017; 13 (12)

    Abstract

    A clinically relevant magneto-optical technique (fd-FRS, frequency-domain Faraday rotation spectroscopy) for characterizing proteins using antibody-functionalized magnetic nanoparticles (MNPs) is demonstrated. This technique distinguishes between the Faraday rotation of the solvent, iron oxide core, and functionalization layers of polyethylene glycol polymers (spacer) and model antibody-antigen complexes (anti-BSA/BSA, bovine serum albumin). A detection sensitivity of ≈10 pg mL-1 and broad detection range of 10 pg mL-1 ≲ cBSA ≲ 100 µg mL-1 are observed. Combining this technique with predictive analyte binding models quantifies (within an order of magnitude) the number of active binding sites on functionalized MNPs. Comparative enzyme-linked immunosorbent assay (ELISA) studies are conducted, reproducing the manufacturer advertised BSA ELISA detection limits from 1 ng mL-1 ≲ cBSA ≲ 500 ng mL-1 . In addition to the increased sensitivity, broader detection range, and similar specificity, fd-FRS can be conducted in less than ≈30 min, compared to ≈4 h with ELISA. Thus, fd-FRS is shown to be a sensitive optical technique with potential to become an efficient diagnostic in the chemical and biomolecular sciences.

    View details for DOI 10.1002/smll.201602862

    View details for Web of Science ID 000397703700011

    View details for PubMedID 28090735

  • Data-Driven Comparison of Four Cutaneous Displays for Pinching Palpation in Robotic Surgery Brown, J. D., Ibrahim, M., Chase, E. Z., Pacchierotti, C., Kuchenbecker, K. J., Choi, S. M., Kuchenbecker, K. J., Gerling, G. IEEE. 2016: 147-154