Details
- scope
- In vitro / ex vivo population imaging; near-infrared GEVIs Archon1 and nirButterfly
- section_id
- section_16
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json
- effect_size
- nirButterfly is ~7× brighter than Archon1 under matched conditions, with faster kinetics; Archon1 has larger signals
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-16-synthesis
- source_kind
- review_finding
- source_path
- evidence/section_16_evidence_package.json
- source_span
- Neither GEVI characterized here surpasses in all three key parameters (brightness, kinetics, and sensitivity), so there is no unequivocal preference for one of the two.
- study_system
- In vitro / ex vivo population imaging; near-infrared GEVIs Archon1 and nirButterfly
- section_title
- 16. Synthesis — which computational claims the mouse-cortex E→E empirical record actually supports, where the bottleneck observations are, and what an inhibition-free, single-species, basic-research analytic framing misses
- evidence_summary
- Quantifies a present-day indicator-engineering bottleneck for the near-infrared voltage-imaging route that cluster_14 lists among emerging tools.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- single-study
- review_package_ref
- analysis_bundle:ab-d9c479db9be9
- source_artifact_ref
- wiki_page:computationalreviewrecurrence-16-synthesis
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json
- commit_sha
- 79ce062d54a924ce05953ec90aa9d26044d2b48f
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (5)
- claim_text
Two leading near-infrared GEVIs, Archon1 and nirButterfly, each have complementary trade-offs in brightness, kinetics and signal amplitude — neither indicator currently combines all three properties optimally for mesoscopic in-vivo voltage imaging.
- raw_fields
{ "n": 2, "doi": "10.1117/1.nph.11.2.024201", "claim": "Two leading near-infrared GEVIs, Archon1 and nirButterfly, each have complementary trade-offs in brightness, kinetics and signal amplitude — neither indicator currently combines all three properties optimally for mesoscopic in-vivo voltage imaging.", "cite_key": "Song2023b", "evidence": "Quantifies a present-day indicator-engineering bottleneck for the near-infrared voltage-imaging route that cluster_14 lists among emerging tools.", "effect_size": "nirButterfly is ~7× brighter than Archon1 under matched conditions, with faster kinetics; Archon1 has larger signals", "text_access": "abstract_only", "study_system": "In vitro / ex vivo population imaging; near-infrared GEVIs Archon1 and nirButterfly", "argument_role": "supporting", "replication_status": "single-study", "claim_source_sentence": "Neither GEVI characterized here surpasses in all three key parameters (brightness, kinetics, and sensitivity), so there is no unequivocal preference for one of the two.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [], "effect_size_source_sentence": "We found that nirButterfly shows seven-fold higher brightness than Archon1 under the same conditions and faster kinetics than Archon1 for population imaging without cellular resolution." }- source_refs
[ "paper:paper-2481de1c0ae2" ]
- evidence_refs
[ { "ref": "paper:paper-2481de1c0ae2" } ]- source_policy
{ "mode": "public_source_pointer_with_short_context", "notes": [ "Local review repositories are read-only inputs.", "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose." ], "source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }