Brain imaging for neural tissue health assessment

David Blodgett, Eyal Bar-Kochba, Aaron Criss, Tom Criss, Jason Harper, Grace Hwang, Clare Lau, Carissa Rodriguez, Carlos Renjifo, Clara A. Scholl, Austen Lefebvre, Marek A Mirski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Optical neuroimaging technologies aim to observe neural tissue structure and function by detecting changes in optical signals (scatter, absorption, etc..) that accompany a range of anatomical and functional properties of brain tissue. At present, there is a tradeoff between spatial and temporal resolution that is not currently optimized in a single imaging modality. This work focuses on filling the gap between the spatio-Temporal resolutions of existing neuroimaging technologies by developing a coherent optics-based imaging system capable of extracting anatomical and functional information across a measurement volume by leveraging a coherent optics-based approach that provides both magnitude and phase information of the sample. We developed a digital holographic imaging (DHI) system capable of detecting these optical signals with a spatial resolution of better than 50 μm over a twenty-five mm2 field of view at sampling rates of 300 Hz and higher. The DHI system operates in the near-infrared (NIR) at 1064 nm, facilitating increased light penetration depths while minimizing contributions from overt changes in oxy-and deoxy-hemoglobin concentration present at shorter NIR wavelengths. This label-free imaging method detects intrinsic signals driven by tissue motion, allowing for innately spatio-Temporally registered extraction of anatomical and functional signals in vivo. In this work, we present in vivo results from rat whisker barrel cortex demonstrating signals reflecting anatomical structure and tissue dynamics.

Original languageEnglish (US)
Title of host publicationMicro- and Nanotechnology Sensors, Systems, and Applications X
PublisherSPIE
Volume10639
ISBN (Electronic)9781510617896
DOIs
StatePublished - Jan 1 2018
Event2018 Micro- and Nanotechnology (MNT) Sensors, Systems, and Applications X Conference - Orlando, United States
Duration: Apr 15 2018Apr 19 2018

Other

Other2018 Micro- and Nanotechnology (MNT) Sensors, Systems, and Applications X Conference
CountryUnited States
CityOrlando
Period4/15/184/19/18

Fingerprint

health
brain
Brain
Health
Imaging
Imaging systems
Tissue
Neuroimaging
Imaging techniques
Imaging System
temporal resolution
optical communication
Optics
spatial resolution
optics
Infrared radiation
Volume measurement
Infrared
cortexes
Hemoglobin

Keywords

  • Coherent imaging
  • Digital holography
  • Neural imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Blodgett, D., Bar-Kochba, E., Criss, A., Criss, T., Harper, J., Hwang, G., ... Mirski, M. A. (2018). Brain imaging for neural tissue health assessment. In Micro- and Nanotechnology Sensors, Systems, and Applications X (Vol. 10639). [106391G] SPIE. https://doi.org/10.1117/12.2305789

Brain imaging for neural tissue health assessment. / Blodgett, David; Bar-Kochba, Eyal; Criss, Aaron; Criss, Tom; Harper, Jason; Hwang, Grace; Lau, Clare; Rodriguez, Carissa; Renjifo, Carlos; Scholl, Clara A.; Lefebvre, Austen; Mirski, Marek A.

Micro- and Nanotechnology Sensors, Systems, and Applications X. Vol. 10639 SPIE, 2018. 106391G.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Blodgett, D, Bar-Kochba, E, Criss, A, Criss, T, Harper, J, Hwang, G, Lau, C, Rodriguez, C, Renjifo, C, Scholl, CA, Lefebvre, A & Mirski, MA 2018, Brain imaging for neural tissue health assessment. in Micro- and Nanotechnology Sensors, Systems, and Applications X. vol. 10639, 106391G, SPIE, 2018 Micro- and Nanotechnology (MNT) Sensors, Systems, and Applications X Conference, Orlando, United States, 4/15/18. https://doi.org/10.1117/12.2305789
Blodgett D, Bar-Kochba E, Criss A, Criss T, Harper J, Hwang G et al. Brain imaging for neural tissue health assessment. In Micro- and Nanotechnology Sensors, Systems, and Applications X. Vol. 10639. SPIE. 2018. 106391G https://doi.org/10.1117/12.2305789
Blodgett, David ; Bar-Kochba, Eyal ; Criss, Aaron ; Criss, Tom ; Harper, Jason ; Hwang, Grace ; Lau, Clare ; Rodriguez, Carissa ; Renjifo, Carlos ; Scholl, Clara A. ; Lefebvre, Austen ; Mirski, Marek A. / Brain imaging for neural tissue health assessment. Micro- and Nanotechnology Sensors, Systems, and Applications X. Vol. 10639 SPIE, 2018.
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