{"id":"W4399045800","doi":"10.1002/adfm.202404709","title":"Dual Infrared 2‐Photon Microscopy Achieves Minimal Background Deep Tissue Imaging in Brain and Plant Tissues","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Institute of General Medical Sciences; McKnight Foundation; Burroughs Wellcome Fund; Camille and Henry Dreyfus Foundation; Philomathia Foundation; Gordon and Betty Moore Foundation; Alfred P. Sloan Foundation; National Institutes of Health; National Science Foundation","keywords":"Materials science; Microscopy; Two-photon excitation microscopy; Infrared microscopy; Infrared; Brain tissue; Multiphoton fluorescence microscope; Photon; Nuclear magnetic resonance; Biomedical engineering; Biophysics; Optoelectronics; Optics; Fluorescence microscope; Fluorescence; Biology; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019925,0.0003827087,0.000187173,0.0002072952,0.0002395973,0.0004008013,0.000370335,0.0004750829,0.0006630025],"category_scores_gemma":[0.0001793181,0.0002727276,0.0001479335,0.00008751869,0.0003461488,0.0004107134,0.0004870312,0.0005710147,0.0002633741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441062,"about_ca_system_score_gemma":0.0002765423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000676145,"about_ca_topic_score_gemma":0.001475699,"domain_scores_codex":[0.999917,0.000009297793,0.000003124607,0.0000287917,0.00002666281,0.00001505244],"domain_scores_gemma":[0.9998817,0.00003855798,0.00002702054,0.00001374565,0.00002127091,0.00001768623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001321268,0.000004620766,0.00004650623,0.00001267347,0.000001123044,0.00001393359,0.000007295467,0.00014529,0.9989642,0.0001738846,0.00002418046,0.0005930644],"study_design_scores_gemma":[0.00000532928,0.00004026276,0.001001512,0.000003553724,0.00000348006,0.0001307943,0.00001399401,0.005054026,0.9926395,0.0002207199,0.0008813516,0.000005491909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145234,0.0005924062,0.081236,0.0001793309,0.00001816503,0.00002662775,0.0001537931,0.0004094341,0.002860683],"genre_scores_gemma":[0.9393844,0.0004316382,0.05689445,0.00009241328,0.000008375666,0.00006165681,0.0001240096,0.0000657078,0.002937378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000676145,"threshold_uncertainty_score":0.003200114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008289385679778705,"score_gpt":0.2411018387012923,"score_spread":0.2328124530215136,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}