How to Achieve High Spatial Resolution in Organic Optobioelectronic Devices?

Abstract Light activated local stimulation and sensing of biological cells hold great promise for minimally invasive bioelectronic interfaces. Organic semiconductors are particularly appealing for these applications due to their optoelectronic properties and biocompatibility. This study examines the material properties necessary to localize the optical excitation and achieve optoelectronic transduction with high spatial resolution. Using photovoltage and photocurrent microscopy, we investigate spatial broadening of local optical excitation in Phthalocyanine/3,4,9,10‐Perylenetetracarboxylic diimide (H 2 PC/PTCDI) planar heterojunctions. Our measurements reveal that resolution losses are tied to the effective diffusion length of charge carriers at the heterojunction. For the H 2 PC/PTCDI heterojunction, the diffusion length is determined to be λ d = 1.5 ± 0.1 µm, attributed to reduced carrier mobility. Covering the heterojunction with poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) improves the charge generation performance but increases the carrier diffusion length to λ d = 7.0 ± 0.3 µm due to longer lifetime and higher carrier mobility. These findings elucidate the physical mechanisms underlying transduction and provide design principles for organic semiconductor devices aimed at achieving high efficiency and high spatial resolution for wireless and optically activated bioelectronics.

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Publication Details

Journal
Advanced Materials Interfaces
Published
2025-02-07
DOI
https://doi.org/10.1002/admi.202400822
Citations
6
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
5.45

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article

How to Achieve High Spatial Resolution in Organic Optobioelectronic Devices?

Tobias Cramer, Beatrice Fraboni, Eric Daniel Głowacki, Stefan A. L. Weber et al.
6 citations
Advanced Materials Interfaces
Neuroscience and Neural Engineering
5.45
article

How to Achieve High Spatial Resolution in Organic Optobioelectronic Devices?

Tobias Cramer, Beatrice Fraboni, Eric Daniel Głowacki, Stefan A. L. Weber, Ludovico Migliaccio, Aleksandra Širvinskytė, Cristiano Tamarozzi, Luca Bondi, Luca Fabbri, Giacomo Rizzi
article en
6 citations

Abstract

Abstract Light activated local stimulation and sensing of biological cells hold great promise for minimally invasive bioelectronic interfaces. Organic semiconductors are particularly appealing for these applications due to their optoelectronic properties and biocompatibility. This study examines the material properties necessary to localize the optical excitation and achieve optoelectronic transduction with high spatial resolution. Using photovoltage and photocurrent microscopy, we investigate spatial broadening of local optical excitation in Phthalocyanine/3,4,9,10‐Perylenetetracarboxylic diimide (H 2 PC/PTCDI) planar heterojunctions. Our measurements reveal that resolution losses are tied to the effective diffusion length of charge carriers at the heterojunction. For the H 2 PC/PTCDI heterojunction, the diffusion length is determined to be λ d = 1.5 ± 0.1 µm, attributed to reduced carrier mobility. Covering the heterojunction with poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) improves the charge generation performance but increases the carrier diffusion length to λ d = 7.0 ± 0.3 µm due to longer lifetime and higher carrier mobility. These findings elucidate the physical mechanisms underlying transduction and provide design principles for organic semiconductor devices aimed at achieving high efficiency and high spatial resolution for wireless and optically activated bioelectronics.

Advanced Materials InterfacesVol. 12(9)
University of Stuttgart (DE), Central European Institute of Technology (CZ), Brno University of Technology (CZ), University of Bologna (IT)
Ministerstvo Školství, Mládeže a Tělovýchovy, HORIZON EUROPE Framework Programme, HORIZON EUROPE European Research Council
Affordable and clean energy
Openalex Percentile: Top 4%
Neuroscience and Neural Engineering
5.45
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