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Record W2044206858 · doi:10.1117/12.686146

Spherical imaging array based on bioelectronic photoreceptors

2006· article· en· W2044206858 on OpenAlexaff
Wei Wei Wang, George K. Knopf, Amarjeet Bassi

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
Typearticle
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsWestern University
Fundersnot available
KeywordsMaterials scienceLarge formatOptoelectronicsOpticsPhotodetectorIndium tin oxidePlanarSIGNAL (programming language)RayAmplifierPhotoresistorReflector (photography)Photoelectric effectWavelengthSubstrate (aquarium)PhysicsCMOSNanotechnologyComputer scienceThin film

Abstract

fetched live from OpenAlex

The performance of wide field-of-view (FOV) and omni-directional sensors are often limited by the complex optics used to project three-dimensional world points onto the planar surface of a charged-couple device (CCD) or CMOS array. Recent advances in the design and development of a spherical imaging system that exploits the fast photoelectric signals generated by dried bacteriorhodopsin (bR) films are described in this paper. The bendable, lightweight and durable bR-based photocell array is manufactured on an indium-tin-oxide (ITO) coated plastic film using Electrophoretic Sedimentation technique (EPS). The effective sensing area of each pixel in the preliminary prototype is 2x2 mm2, separated by 1mm and arranged in a 4x4 array. When exposed to light, the differential response characteristic is attributed to charge displacement and recombination within the bR molecule, as well as loading effects of the attached amplifier. The peak spectral response occurs at 568nm and is linear over the tested light power range of 200μW to 12mW. Response remains linear at the other tested wavelengths, but at reduced signal amplitude. Excess material between the bR sensing elements can be cut from the plastic substrate to increase structure flexibility and permit the array of photodetectors to be wrapped around the exterior, or adhered to the interior, of a sphere.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.249
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicPhotoreceptor and optogenetics researchFrench-language works237,207