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Record W2595688356 · doi:10.15353/vsnl.v2i1.105

Compact, Field-Portable Lens-free Microscope using Superresolution Spatio-Spectral Light-field Fusion

2016· article· en· W2595688356 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Computational Vision and Imaging Systems · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDigital Holography and Microscopy
Canadian institutionsUniversity of Waterloo
FundersOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMicroscopeOpticsLens (geology)MicroscopyOptical microscopeResolution (logic)Spectral resolutionSIGNAL (programming language)Materials sciencePhysicsComputer scienceArtificial intelligenceSpectral lineScanning electron microscope

Abstract

fetched live from OpenAlex

We present a compact, field-portable lens-free microscope basedon the principle of spatio-spectral light-field fusion. This is the firsttime a device of this kind has been introduced whereby both superresolutionand signal-to-noise ratio are enhanced via the marriageof synthetic aperture imaging and spectral light-field fusionholography, culminating in a system that is self-contained and fieldportablewhile achieving high resolution, contrast, strong signal fidelity,and ultra-wide field-of-view. The active spatio-spectral illuminationis accomplished in the presented microscope by arranginga series of pulsing LEDs emitting at different spectral wavelengthsin a specific spatial formation. To demonstrate the performance ofthe presented microscope, the system was used to observe twohistology samples: a bovine lung, and corn stem. The imaging resultsdemonstrate the ultra-wide field-of-view advantage of the presentedmicroscope over any other system of its kind, thus enablingfor acquisition of the entire sample without the need for scanning,while producing high-resolution, high-contrast microscopy images(168 megapixels in the current system) that makes it well-suited forscientific and clinical examinations.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.268
Teacher spread0.259 · 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