Drug delivery and optical neuromodulation using a structured polymer optical fiber with ultra-high NA
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Drug delivery and optical neuromodulation using a structured polymer optical fiber with ultra-high NA. / Sui, Kunyang; Meneghetti, Marcello; Kaur, Jaspreet; Sørensen, Roar Jakob Fleng ; Berg, Rune W.; Markos, Christos.
Optogenetics and Optical Manipulation 2023: Proceedings. ed. / Samarendra K. Mohanty; Anna W. Roe; Shy Shoham. Vol. 12366 SPIE - International Society for Optical Engineering, 2023. p. 8-12 1236604.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Drug delivery and optical neuromodulation using a structured polymer optical fiber with ultra-high NA
AU - Sui, Kunyang
AU - Meneghetti, Marcello
AU - Kaur, Jaspreet
AU - Sørensen, Roar Jakob Fleng
AU - Berg, Rune W.
AU - Markos, Christos
PY - 2023
Y1 - 2023
N2 - Implantable optical fibers have been widely used for optical neuromodulation in deep brain regions. Polymer fiber-based neural devices have natural advantages over silica fibers since their high flexibility would lead to a less inflammatory response in chronic in vivo experiments. Using three kinds of polymer materials: polycarbonate (PC), polysulfone (PSU), and fluorinated ethylene propylene (FEP), we present multifunctional soft polymer fiber (POF)-based brain implants with an Ultra-High Numerical Aperture (UHNA) and integrated Microfluidic Channels (MCs) for wide illumination and drug delivery, respectively. The flexibility of the proposed fiber devices has been found to be 100-fold reduced compared to their commercially available counterparts. Biofluids delivery can be controllably achieved over a wide range of injection rates spanning from 10 nL/min to 1000 nL/min by the structured MCs in the fiber cladding. The illumination area of the UHNA POFs in brain phantom has been increased significantly compared with the commercially available silica fibers. A fluorescent light recording experiment has been conducted to demonstrate the proposed UHNA POFs can be used as optical waveguides in fiber photometry. The limited illumination angle of the optical fiber imposed by current technology has been enlarged by the proposed UHNA POFs and we anticipate our work to pave the way toward more efficient multifunctional neural probes for neuroscience.
AB - Implantable optical fibers have been widely used for optical neuromodulation in deep brain regions. Polymer fiber-based neural devices have natural advantages over silica fibers since their high flexibility would lead to a less inflammatory response in chronic in vivo experiments. Using three kinds of polymer materials: polycarbonate (PC), polysulfone (PSU), and fluorinated ethylene propylene (FEP), we present multifunctional soft polymer fiber (POF)-based brain implants with an Ultra-High Numerical Aperture (UHNA) and integrated Microfluidic Channels (MCs) for wide illumination and drug delivery, respectively. The flexibility of the proposed fiber devices has been found to be 100-fold reduced compared to their commercially available counterparts. Biofluids delivery can be controllably achieved over a wide range of injection rates spanning from 10 nL/min to 1000 nL/min by the structured MCs in the fiber cladding. The illumination area of the UHNA POFs in brain phantom has been increased significantly compared with the commercially available silica fibers. A fluorescent light recording experiment has been conducted to demonstrate the proposed UHNA POFs can be used as optical waveguides in fiber photometry. The limited illumination angle of the optical fiber imposed by current technology has been enlarged by the proposed UHNA POFs and we anticipate our work to pave the way toward more efficient multifunctional neural probes for neuroscience.
U2 - 10.1117/12.2647117
DO - 10.1117/12.2647117
M3 - Article in proceedings
VL - 12366
SP - 8
EP - 12
BT - Optogenetics and Optical Manipulation 2023
A2 - K. Mohanty, Samarendra
A2 - W. Roe, Anna
A2 - Shoham, Shy
PB - SPIE - International Society for Optical Engineering
Y2 - 28 January 2023 through 3 February 2023
ER -
ID: 347307607