Enhanced Cell–Chip Coupling by Rapid Femtosecond Laser Patterning of Soft PEDOT:PSS Biointerfaces

Santoro, Francesca; Burgt, Yoeri van de; Keene, Scott T.; Cui, Bianxiao; Salleo, Alberto

doi:10.1021/acsami.7b12308

Cited by 26 publications

(37 citation statements)

References 30 publications

(57 reference statements)

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“…[32][33][34][35][36] When implemented in a three-terminal architecture as an NVRM, PEDOT:PSS devices show exceptionally low switching energies (10 pJ for a 100 µm 2 device) in addition to linear and symmetric conductance response required for "blind" weight update (i.e., not involving a read). [15] These features combined with materials compatibility for 3D stacking [37] and biological interfacing [38,39] make organic neuromorphic devices very promising for integration in hardware-based ANN. [15] These features combined with materials compatibility for 3D stacking [37] and biological interfacing [38,39] make organic neuromorphic devices very promising for integration in hardware-based ANN.…”

Section: Introductionmentioning

confidence: 99%

Mechanisms for Enhanced State Retention and Stability in Redox‐Gated Organic Neuromorphic Devices

Keene

Melianas

Burgt

et al. 2018

Adv Elect Materials

Self Cite

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units (GPUs) and >1000 central processing units (CPUs) for some of the highest performance demonstrations. [4] In order to approach the massively parallel and energy efficient operation of the brain (≈25 W), [7] neuromorphic computing architectures have been proposed which utilize physical processes in materials to emulate synaptic behavior. [8][9][10] Among these, resistive memory (memristive) devices [11,12] have gained traction as a highly suitable option, offering projected efficiency gains of up to 10 6 over von Neumann architectures when implementing ANN algorithms. [13,14] Efficiency gains originate from parallel computation and scale with array size (N) [15] : an N × N sized neuromorphic array can simultaneously perform N 2 operations using Ohm's and Kirchoff's laws (multiply and accumulate, respectively), whereas GPUs can perform only N operations simultaneously.Nonvolatile memristive devices such as phase change memory (PCM) and resistive random-access memory (ReRAM) have been proposed for use as nonvolatile artificial synapses due to their ability to tune the resistance state by applied voltage pulses. [16][17][18] By arranging these devices in a crossbar array architecture, vector-matrix multiplication (VMM) can be performed in an analog fashion where the input vector is represented by voltages, the operator matrix is represented by the conductance of each memristive element, and the output vector is represented by currents. These crossbar arrays have recently been implemented in a dot-product engine which uses VMM operations to classify handwritten digits with ≈90% accuracy. [19] However, this demonstration requires a timeconsuming feedback programming scheme which reduces the parallelism of the write operation to the array and ultimately its overall efficiency.Recently, electrochemical nonvolatile redox memory (NVRM) devices [20,21] have emerged as an ideal candidate for neuromorphic arrays as they decouple read and write operations, thereby allowing for low-energy programming and accurately tunable conductance states while potentially avoiding the time-voltage dilemma. [22,23] Furthermore, organic materials are an attractive alternative to conventional resistive memory due to their linearly tunable conductance, [22] biocompatibility, [24] and unique switching mechanisms which significantly differ from their inorganic counterparts. [25][26][27][28][29][30] In particular, there has been interest in mixed ionic-electronic conductors, Recent breakthroughs in artificial neural networks (ANNs) have spurred interest in efficient computational paradigms where the energy and time costs for training and inference are reduced. One promising contender for efficient ANN implementation is crossbar arrays of resistive memory elements that emulate the synaptic strength between neurons within the ANN. Organic nonvolatile redox memory has recently been demonstrated as a promising device for neuromorphic computing, offering a continuous range of linearly programmable resistance states and tunable electronic and elect...

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Section: Introductionmentioning

confidence: 99%

Mechanisms for Enhanced State Retention and Stability in Redox‐Gated Organic Neuromorphic Devices

Keene

Melianas

Burgt

et al. 2018

Adv Elect Materials

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“…To extend this capability further, we produce centimetre long fibres to guide cellular alignment, where the fibre can simultaneously function as an impedimetric sensor detecting dynamics of cell coverage (Fig.4 D). Cell coverage on PEDOT:PSS electrode surfaces is known to increase the electrode's sensing impedance (41,42). Coupled with simultaneous live cell imaging permitted by the fibre array, it is found that in our fibre-electrode setup, the impedance increases most noticeably during the initial stages of cell attachment and fibre-guided cell alignment (within approximatively 100 min from cell sedimentation).…”

Section: Inflight Fluidic Fibre Printingmentioning

confidence: 73%

Inflight Fluidic Fibre Printing Towards Array and 3D Optoelectronic and Sensing Architectures

Wang¹,

Ouarus²,

Rutz³

et al. 2020

Preprint

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Scalability and device-integration have been prevailing issues limiting our ability in harnessing the full potential of small-diameter conducting fibres. We report inflight fluidic fibre printing, a rapid, low-cost route that integrates the entire process of conducting fibre production and fibre-to-circuit connection, in a single step under sub-100 °C ambient atmospheres. Metallic (silver) or organic (PEDOT:PSS) fibres with 1-3 μm diameter are fabricated, and the fibre arrays exhibit over 95 % transmittance in the 350-750 nm region. We exploit combinations of the unique fibre characteristics: directionality, high surface-area-to-volume ratio, and permissiveness, along with transparency and conductivity. Using PEDOT:PSS fibres as a cell-interfaced impedimetric sensor and a moisture sensor, we show that even a single fibre component can achieve complex functions or outperform conventional film-based devices. The capability to design suspended fibres and networks of homo-, hetero-cross-junctions, paves the way to applications including flow-permissive devices, and 3D optoelectronic and sensor architectures.

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“…5D). Cell coverage on PEDOT:PSS electrode surfaces is known to increase the electrode's sensing impedance (42). Coupled with simultaneous live-cell imaging permitted by the transparency of the fiber array, it is found that in our fiber-electrode setup, the impedance increases most noticeably during the initial stages of cell attachment and fiber-guided cell alignment (within approximatively 100 min from cell sedimentation).…”

Section: Pedot:pss Fiber-based Biointerface Devicesmentioning

confidence: 76%

Inflight fiber printing toward array and 3D optoelectronic and sensing architectures

et al. 2020

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Scalability and device integration have been prevailing issues limiting our ability in harnessing the potential of small-diameter conducting fibers. We report inflight fiber printing (iFP), a one-step process that integrates conducting fiber production and fiber-to-circuit connection. Inorganic (silver) or organic {PEDOT:PSS [poly(3,4-ethylenedioxythiophene) polystyrene sulfonate]} fibers with 1- to 3-μm diameters are fabricated, with the fiber arrays exhibiting more than 95% transmittance (350 to 750 nm). The high surface area–to–volume ratio, permissiveness, and transparency of the fiber arrays were exploited to construct sensing and optoelectronic architectures. We show the PEDOT:PSS fibers as a cell-interfaced impedimetric sensor, a three-dimensional (3D) moisture flow sensor, and noncontact, wearable/portable respiratory sensors. The capability to design suspended fibers, networks of homo cross-junctions and hetero cross-junctions, and coupling iFP fibers with 3D-printed parts paves the way to additive manufacturing of fiber-based 3D devices with multilatitude functions and superior spatiotemporal resolution, beyond conventional film-based device architectures.

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Enhanced Cell–Chip Coupling by Rapid Femtosecond Laser Patterning of Soft PEDOT:PSS Biointerfaces

Cited by 26 publications

References 30 publications

Mechanisms for Enhanced State Retention and Stability in Redox‐Gated Organic Neuromorphic Devices

Mechanisms for Enhanced State Retention and Stability in Redox‐Gated Organic Neuromorphic Devices

Inflight Fluidic Fibre Printing Towards Array and 3D Optoelectronic and Sensing Architectures

Inflight fiber printing toward array and 3D optoelectronic and sensing architectures

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