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{ "kind": "infographic", "prompt": "Quantifies the present envelope (yield, depth, frame rate) of 2P/widefield voltage imaging in mouse cortex relevant to E→E claims.", "provider": "other", "raw_fields": { "papers": [ { "n": 0, "doi": "10.1117/1.nph.11.3.035007", "value": "~12", "method": "2P voltage imaging modeling", "metric": "max simultaneous neurons (2P, SNR=10, >300 µm)", "n_analyzed": "", "ci_or_error": "", "text_access": "abstract_only", "n_definition": "upper-bound count from biophysical model", "scope_region": "mouse cortex", "study_system": "Mouse cortex (model)", "taxonomic_level": "broad category", "scope_population": "voltage indicator cells", "value_source_sentence": "2P voltage imaging using an 80-MHz source can record from no more than ∼ 12 neurons simultaneously.", "experimental_conditions": "JEDI-2P, SNR 10, 1 kHz, 200 mW, >300 µm depth" }, { "n": 0, "doi": "10.1016/j.cell.2022.07.013", "value": ">400 µm", "method": "2P voltage imaging (ULoVE)", "metric": "spike detection depth (ULoVE)", "n_analyzed": "", "ci_or_error": "", "text_access": "abstract_only", "n_definition": "max imaging depth with single-spike detection", "scope_region": "mouse cortex", "study_system": "Awake mouse cortex", "taxonomic_level": "broad category", "scope_population": "individual cortical neurons", "value_source_sentence": "Finally, ULoVE recording of JEDI-2P can robustly detect spikes at depths exceeding 400 μm and report voltage correlations in pairs of neurons.", "experimental_conditions": "JEDI-2P, ULoVE random-access 2P" }, { "n": 0, "doi": "10.1364/boe.576516", "value": "530 Hz", "method": "Miniaturized widefield voltage imaging", "metric": "miniaturized widefield frame rate", "n_analyzed": "", "ci_or_error": "SNR >3", "text_access": "abstract_only", "n_definition": "frame rate of imaging system", "scope_region": "mouse cortex", "study_system": "In vivo mouse", "taxonomic_level": "broad category", "scope_population": "Voltron2-expressing cells", "value_source_sentence": "We show it is capable of imaging <i>in vivo</i> voltage spikes from Voltron2 with a spike peak-to-noise ratio >3 at a framerate of 530 Hz.", "experimental_conditions": "Voltron2, 250 µm FOV, 16.4 g headpiece" }, { "n": 0, "doi": "10.1016/j.crmeth.2025.101221", "value": "400 Hz", "method": "Miniaturized 2P voltage imaging", "metric": "voltage frame rate (freely moving)", "n_analyzed": "", "ci_or_error": "", "text_access": "abstract_only", "n_definition": "voltage-imaging frame rate", "scope_region": "mouse cortex", "study_system": "Freely moving mouse cortex", "taxonomic_level": "broad category", "scope_population": "GEVI-expressing cells", "value_source_sentence": "The increased speed of M-MINI2Ps also enables two-photon voltage imaging at 400 Hz over a 380 × 150 μm<sup>2</sup> FOV in freely moving mice.", "experimental_conditions": "M-MINI2P miniature 2P, 380×150 µm² FOV" } ], "audit_issues": [ { "dimension": "metric_definition", "description": "Rows report different quantities on the y-axis (max simultaneous neurons, max imaging depth, frame rate). A 'grouped bar' over heterogeneous quantities is not a valid comparison.", "entries_affected": [ "10.1117/1.nph.11.3.035007", "10.1016/j.cell.2022.07.013", "10.1364/boe.576516", "10.1016/j.crmeth.2025.101221" ] }, { "dimension": "study_system", "description": "One row is a biophysical model upper bound (10.1117/1.nph.11.3.035007); others are empirical 2P/widefield voltage imaging.", "entries_affected": [ "10.1117/1.nph.11.3.035007" ] } ], "audit_verdict": "SPLIT", "comparison_id": "2p-voltage-imaging-limits", "comparison_name": "Present-day depth, neuron-count, and frame-rate of in-vivo 2P voltage imaging in mouse cortex", "comparison_type": "convergent evidence", "what_it_reveals": "Quantifies the present envelope (yield, depth, frame rate) of 2P/widefield voltage imaging in mouse cortex relevant to E→E claims.", "homogeneity_check": { "caveats": [ "Metrics are heterogeneous (neuron count vs depth vs frame rate); pooled only as a depiction of the resolution envelope, not a single comparable quantity.", "One row is a biophysical-model upper bound rather than empirical measurement (10.1117/1.nph.11.3.035007)." ], "n_definition_uniform": "false", "scope_region_uniform": "true", "taxonomic_level_uniform": "true", "scope_population_uniform": "false" }, "suggested_plot_type": "grouped bar", "mandatory_caption_caveats": [ "Rows do not share a metric (neuron count vs. depth vs. frame rate); the figure should be read as a multi-axis envelope, not a single comparable quantity.", "One row is a biophysical model upper bound; others are empirical measurements.", "Phase 7 writer: SPLIT verdict — implement as: Split into separate panels by quantity (neuron count, depth, frame rate) or convert to a table where each row reports all three quantities. Clearly distinguish model upper bounds from empirical measurements." ] }, "section_id": "section_15", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json", "target_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits", "source_path": "evidence/section_15_evidence_package.json", "source_refs": [ "paper:paper-07e278a78498", "paper:paper-2daa8d033efa", "paper:paper-d123a7539f4f", "paper:paper-ed927db80f97" ], "section_title": "15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon", "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" }, "generation_status": "complete", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }