ArticleLight, science & applications2022
Toward implantable devices for angle-sensitive, lens-less, multifluorescent, single-photon lifetime imaging in the brain using Fabry-Perot and absorptive color filters.
Article in Light, science & applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Fabrication of High-Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Versatile optical frontends for multicolor fluorescence imaging with miniaturized lensless sensors.Biomedical optics express · 2026Article
- A Wireless, Multicolor Fluorescence Image Sensor Implant for Real-Time Monitoring in Cancer Therapy.IEEE journal of solid-state circuits · 2024Article
- Implantable photonic nano-modulators open perspectives for advanced optical interfaces with deep brain areas.Neurophotonics · 2024Article
- Potential of plasmonics and nanoscale light-matter interactions for the next generation of optical neural interfaces.Neurophotonics · 2024Article
- Method for optimizing imaging parameters to record neuronal and cellular activity at depth with bioluminescence.Neurophotonics · 2024Article
- Flexible temperature-pressure dual sensor based on 3D spiral thermoelectric BiNature communications · 2024Article
- Multicolor fluorescence microscopy for surgical guidance using a chip-scale imager with a low-NA fiber optic plate and a multi-bandpass interference filter.Biomedical optics express · 2024Article
- Concept of a fully-implantable system to monitor tumor recurrence.Scientific reports · 2023Article
- An Investigation into the Acidity-Induced Insulin Agglomeration: Implications for Drug Delivery and Translation.ACS omega · 2023Article
- Computational microscopy for fast widefield deep-tissue fluorescence imaging using a commercial dual-cannula probe.Optics continuum · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
Implantable image sensors have the potential to revolutionize neuroscience. Due to their small form factor requirements; however, conventional filters and optics cannot be implemented. These limitations obstruct high-resolution imaging of large neural densities. Recent advances in angle-sensitive image sensors and single-photon avalanche diodes have provided a path toward ultrathin lens-less fluorescence imaging, enabling plenoptic sensing by extending sensing capabilities to include photon arrival time and incident angle, thereby providing the opportunity for separability of fluorescence point sources within the context of light-field microscopy (LFM). However, the addition of spectral sensitivity to angle-sensitive LFM reduces imager resolution because each wavelength requires a separate pixel subset. Here, we present a 1024-pixel, 50 µm thick implantable shank-based neural imager with color-filter-grating-based angle-sensitive pixels. This angular-spectral sensitive front end combines a metal-insulator-metal (MIM) Fabry-Perot color filter and diffractive optics to produce the measurement of orthogonal light-field information from two distinct colors within a single photodetector. The result is the ability to add independent color sensing to LFM while doubling the effective pixel density. The implantable imager combines angular-spectral and temporal information to demix and localize multispectral fluorescent targets. In this initial prototype, this is demonstrated with 45 μm diameter fluorescently labeled beads in scattering medium. Fluorescent lifetime imaging is exploited to further aid source separation, in addition to detecting pH through lifetime changes in fluorescent dyes. While these initial fluorescent targets are considerably brighter than fluorescently labeled neurons, further improvements will allow the application of these techniques to in-vivo multifluorescent structural and functional neural imaging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.