Low-cost embedded system for optical imaging of intrinsic signals | Zendy

Edgar Guevara | Zendy; Marcela MirandaMorales | Zendy; Karen HernándezVidales | Zendy; Marco Atzori | Zendy; Francisco Javier González | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Low-cost embedded system for optical imaging of intrinsic signals

Author(s) -

Edgar Guevara,

Marcela MirandaMorales,

Karen HernándezVidales,

Marco Atzori,

Francisco Javier González

Publication year - 2019

Publication title -

revista mexicana de física

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.181

H-Index - 25

eISSN - 2683-2224

pISSN - 0035-001X

DOI - 10.31349/revmexfis.65.651

Subject(s) - computer science , optical imaging , signal (programming language) , resting state fmri , functional imaging , functional connectivity , contrast (vision) , preclinical imaging , linearity , image resolution , computer vision , artificial intelligence , physics , biological system , optics , neuroscience , in vivo , biology , microbiology and biotechnology , quantum mechanics , programming language

This paper describes the proof-of-concept evaluation of a low-cost imaging system for obtaining functional connectivity maps of in vivo murine models. This non-contact system is based on the Raspberry Pi 3 and its V2 camera and offers a method for obtaining resting-state images of brain activity without the use of extrinsic contrast agents. The system was fully characterized in terms of dark signal, linearity, sensor noise resolution and spatial frequency response. One mouse was observed in vivo and functional connectivity maps were obtained by combining resting-state analysis and optical intrinsic signals imaging. Intra-mouse variations in functional connectivity remain consistent across multiple imaging sessions. In principle, inexpensive optical imaging of intrinsic signals allows the study of the mechanisms underlying human brain disorders in well-controlled murine models.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research