{"paper":{"title":"Chem-SIM: Super-resolution Chemical Imaging via Photothermal Modulation of Structured-Illumination Fluorescence","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"Chem-SIM recovers full vibrational fingerprints at SIM-grade resolution by photothermal modulation of structured-illumination fluorescence.","cross_cats":[],"primary_cat":"physics.optics","authors_text":"Biwen Gao, Danchen Jia, Dashan Dong, George Abu-Aqil, Jianpeng Ao, Ji-Xin Cheng, Meng Zhang, Qing Xia, Xinyan Teng","submitted_at":"2026-02-17T23:11:23Z","abstract_excerpt":"Structured illumination microscopy (SIM) has attained high spatiotemporal delineation of subcellular architecture, yet offers limited insight into chemical composition. We develop Chem-SIM, a structured-illumination fluorescence detected mid-infrared photothermal microscopy, for super-resolved chemical imaging of microorganisms and mammalian cells. Poisson maximum-likelihood demodulation and spectral normalization across wavenumber recover the weak IR-induced fluorescence intensity change under low photon budgets and convert the fluorescence intensity modulation to chemical fingerprints. Photo"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Chem-SIM preserves full vibrational fingerprints, achieves SIM-grade lateral resolution in a high-throughput camera-based format, and distinguishes stationary- from log-phase bacteria through chemical content mapping while reporting deuterated fatty-acid incorporation and lipid-droplet dynamics in live cells.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The assumption that the weak IR-induced fluorescence intensity change can be accurately recovered from low-photon-budget data via Poisson maximum-likelihood demodulation and spectral normalization without introducing artifacts that distort the chemical fingerprints.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Chem-SIM achieves super-resolved chemical imaging of cells by demodulating photothermal modulation of structured-illumination fluorescence to extract vibrational spectra.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Chem-SIM recovers full vibrational fingerprints at SIM-grade resolution by photothermal modulation of structured-illumination fluorescence.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"be6edf65c577bce52a64a138500f894af2f4bd9ca7f3ea71fe79e63b5404cefa"},"source":{"id":"2602.16079","kind":"arxiv","version":2},"verdict":{"id":"f080320a-0132-4798-b181-5f10de5ea9e6","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T21:18:31.427686Z","strongest_claim":"Chem-SIM preserves full vibrational fingerprints, achieves SIM-grade lateral resolution in a high-throughput camera-based format, and distinguishes stationary- from log-phase bacteria through chemical content mapping while reporting deuterated fatty-acid incorporation and lipid-droplet dynamics in live cells.","one_line_summary":"Chem-SIM achieves super-resolved chemical imaging of cells by demodulating photothermal modulation of structured-illumination fluorescence to extract vibrational spectra.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The assumption that the weak IR-induced fluorescence intensity change can be accurately recovered from low-photon-budget data via Poisson maximum-likelihood demodulation and spectral normalization without introducing artifacts that distort the chemical fingerprints.","pith_extraction_headline":"Chem-SIM recovers full vibrational fingerprints at SIM-grade resolution by photothermal modulation of structured-illumination fluorescence."},"references":{"count":47,"sample":[{"doi":"","year":2017,"title":"Valm, A.M. et al. Applying systems -level spectral imaging and analysis to reveal the organelle interactome. Nature 546, 162-167 (2017)","work_id":"fbcb2664-e998-4c73-9de9-58f9cd844936","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2022,"title":"Bar-Peled, L. & Kory, N. Principles and functions of metabolic compartmentalization. Nature Metabolism 4, 1232-1244 (2022). 14","work_id":"3ceb55a2-b211-4e21-a85b-1fa9243cb8aa","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2009,"title":"Huang, B., Bates, M. & Zhuang, X. Super -Resolution Fluorescence Microscopy. 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Nature Methods 15, 1011-1019 (2018)","work_id":"f50e1116-c412-4e12-ae9f-6f6836ed8f1a","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":47,"snapshot_sha256":"aa3bccfc998028a47df52d8a0b4e2fe19c4a680c8fa652a7a2805913a822d5e4","internal_anchors":1},"formal_canon":{"evidence_count":1,"snapshot_sha256":"f1f9f092ff76bdf16df1097383983d050fe09c14003410fd65d9030faf6c3243"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}