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Measurements of slow tissue dynamics with short-separation speckle contrast optical spectroscopy.
Liu, Bingxue; Shah, Shashwat; Küreli, Gülce; Devor, Anna; Boas, David A; Cheng, Xiaojun.
Afiliação
  • Liu B; Neurophotonics Center, Boston University, Boston, Massachusetts 02215, USA.
  • Shah S; Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, USA.
  • Küreli G; Neurophotonics Center, Boston University, Boston, Massachusetts 02215, USA.
  • Devor A; Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.
  • Boas DA; Neurophotonics Center, Boston University, Boston, Massachusetts 02215, USA.
  • Cheng X; Neurophotonics Center, Boston University, Boston, Massachusetts 02215, USA.
Biomed Opt Express ; 14(9): 4790-4799, 2023 Sep 01.
Article em En | MEDLINE | ID: mdl-37791271
ABSTRACT
Laser speckle contrast imaging (LSCI) measures 2D maps of cerebral blood flow (CBF) in small animal brains such as mice. The contrast measured in LSCI also includes the static and slow-varying components that contain information about brain tissue dynamics. But these components are less studied as compared to the fast dynamics of CBF. In traditional wide-field LSCI, the contrast measured in the tissue is largely contaminated by neighboring blood vessels, which reduces the sensitivity to these static and slow components. Our goal is to enhance the sensitivity of the contrast to static and slow tissue dynamics and test models to quantify the characteristics of these components. To achieve this, we have developed a short-separation speckle contrast optical spectroscopy (ss-SCOS) system by implementing point illumination and point detection using multi-mode fiber arrays to enhance the static and slow components in speckle contrast measurements as compared to traditional wide-field LSCI (WF-LSCI). We observed larger fractions of the static and slow components when measured in the tissue using ss-SCOS than in traditional LSCI for the same animal and region of interest. We have also established models to obtain the fractions of the static and slow components and quantify the decorrelation time constants of the intensity auto-correlation function for both fast blood flow and slower tissue dynamics. Using ss-SCOS, we demonstrate the variations of fast and slow brain dynamics in animals before and post-stroke, as well as within an hour post-euthanasia. This technique establishes the foundation to measure brain tissue dynamics other than CBF, such as intracellular motility.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Biomed Opt Express Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Biomed Opt Express Ano de publicação: 2023 Tipo de documento: Article