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Record W2141522373 · doi:10.1109/jphot.2012.2200668

A PVAc-Based Benzophenone-8 Filter as an Alternative to Commercially Available Dichroic Filters for Monitoring Calcium Activity in Live Neurons via Fura-2 AM

2012· article· en· W2141522373 on OpenAlexaff
Lior Blockstein, Collin Luk, Anil Kumar Mudraboyina, Naweed I. Syed, Orly Yadid-Pecht

Bibliographic record

VenueIEEE photonics journal · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDichroic glassDichroic filterBenzophenoneMaterials scienceFluorescenceAttenuationAbsorption (acoustics)Band-pass filterOpticsWavelengthOptoelectronicsFilter (signal processing)PhosphorComputer sciencePhysics

Abstract

fetched live from OpenAlex

In this paper, we design, fabricate, and test a PVAc-based benzophenone-8 (PVAcB-8) emission filter to monitor calcium changes in live neurons. We loaded neurons with fura-2 AM, a calcium-sensitive fluorescent dye, which has dual excitation wavelengths at 340 nm, 380 nm with ratiometric emission at 510 nm. To attenuate excitation wavelengths in the UV region and transmit emission light at 510 nm, benzophenone-8 absorption dye was selected as it exhibits high attenuation across 300 to 400 nm. Measurements on the PVAcB-8 filter revealed an attenuation of approximately two and a half orders of magnitude, which is sufficient to collect fluorescence signal from fura-2 AM loaded neurons. The PVAcB-8 filter was compared with a commercially available dichroic filter and proven more efficient in fluorescent imaging.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.102
GPT teacher head0.340
Teacher spread0.239 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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