2016
DOI: 10.1088/2040-8978/18/9/093007
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Roadmap on neurophotonics

Abstract: Mechanistic understanding of how the brain gives rise to complex behavioral and cognitive functions is one of science’s grand challenges. The technical challenges that we face as we attempt to gain a systems-level understanding of the brain are manifold. The brain’s structural complexity requires us to push the limit of imaging resolution and depth, while being able to cover large areas, resulting in enormous data acquisition and processing needs. Furthermore, it is necessary to detect functional activities an… Show more

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Cited by 30 publications
(22 citation statements)
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“…These tools were used to study, among other investigations, brain metabolism and neurodegenerative diseases [1,2]. Alongside these modalities, neurophotonics methods were developed to observe the brain with optical means, providing better spatial and temporal resolutions [3,4]. Light-tissue interaction mechanisms that can be used to study biological tissues include reflection, refraction, absorption, scattering, and some nonlinear optical effects such as two-photon excitation fluorescence (TPEF), second-and third-harmonic generation (SHG and THG, respectively), and Raman scattering [5].…”
Section: Introductionmentioning
confidence: 99%
“…These tools were used to study, among other investigations, brain metabolism and neurodegenerative diseases [1,2]. Alongside these modalities, neurophotonics methods were developed to observe the brain with optical means, providing better spatial and temporal resolutions [3,4]. Light-tissue interaction mechanisms that can be used to study biological tissues include reflection, refraction, absorption, scattering, and some nonlinear optical effects such as two-photon excitation fluorescence (TPEF), second-and third-harmonic generation (SHG and THG, respectively), and Raman scattering [5].…”
Section: Introductionmentioning
confidence: 99%
“…In µLEDs probes, light sources with a size ranging from tens µm 2 to hundreds µm 2 [11] are directly placed on implantable sapphire [12] or silicon shanks [13] or can be integrated on flexible implants with other components as temperature sensors or drug delivery channels [14,15] obtaining multifunctional devices. Due to their small dimension and low power consumption, µLEDs probes are convenient for freely-moving animal experiments, since no external light source is needed and support well wireless driving and powering [16,17,18]. Their main disadvantage, however, is represented by the heat induced by the LED driving current, which potentially adds up to light absorption in generating a temperature gradient beyond 2 °C [16,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Due to their small dimension and low power consumption, µLEDs probes are convenient for freely-moving animal experiments, since no external light source is needed and support well wireless driving and powering [16,17,18]. Their main disadvantage, however, is represented by the heat induced by the LED driving current, which potentially adds up to light absorption in generating a temperature gradient beyond 2 °C [16,17,18]. Flexible polymeric optical fibers [7,8,9], instead, exploit low stiffness to minimise tissue reaction over long-term implants.…”
Section: Introductionmentioning
confidence: 99%
“…This task is even more arduous when targeting brain regions beyond 1 mm depth, as common light-delivery methods (cleaved fiber optics and two-photon excitation) fail in penetrating such depths or are highly invasive. Driven by the experimental need for novel approaches, research in innovative technologies for deep brain light delivery has produced several promising solutions such as multi-dimensional wave-guides or highdensity µLED probes [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] . In a recent work 21 we demonstrated a simple and cost-effective device based on a thin Tapered Optical Fiber (TF) that can perform both homogeneous light delivery over large volumes and dynamically-controlled spatially-restricted illumination.…”
Section: Introductionmentioning
confidence: 99%