Article in ACS photonics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
15 authors.
Douglas K Pleskow *Center for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0003-0092-9496
Lei Zhang *Center for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0002-1391-0009
Vladimir Turzhitsky *Center for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.
Mark F CoughlanCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0001-7421-507X
Umar KhanCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0001-7228-8865
Xuejun ZhangCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0002-6268-7309
Conor J SheilCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0002-9077-4573
Maria GlyavinaCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0001-5078-5625
Liming ChenCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0001-5065-9557
Shweta ShinagareDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard University.
Yuri N ZakharovCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0003-1260-7080
Edward VitkinCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0001-8382-7529
Irving ItzkanCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.
Lev T PerelmanCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0002-5617-8241
Le QiuCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University.ORCID 0000-0002-5392-2848
Funding
In Vivo Optical Detection of Dysplasia in EsophagusR01EB003472 · NIBIB · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PERELMAN, LEV T · 2005 to 2019
$6.1M
Endoscopic Fine-Needle Polarized Scanning Spectroscopy for Pancreatic Cystic Lesions DiagnosisR01EB025173 · NIBIB · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Lev T Perelman · 2017 to 2026
$4.7M
Spectro-Holographic Instrument for Dynamic Sensing of Cancer ProgressionR01CA228029 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PERELMAN, LEV T · 2018 to 2023
$3.4M
Isolation and Assessment of Blood-Circulating Cancer Exosomes with LSS and SERS Lab on a Chip Optical Spectroscopic InstrumentR01CA218382 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PERELMAN, LEV T · 2018 to 2022
$3.3M
(PQ7) In Vivo Cellular Optical Imaging of Esophageal Tumors and MicroenvironmentR01CA205431 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PERELMAN, LEV T · 2016 to 2020
The observation of biological structures in live cells beyond the diffraction limit with super-resolution fluorescence microscopy is limited by the ability of fluorescence probes to permeate live cells and the effect of these probes, which are often toxic, on cellular behavior. Here we present a coherent confocal light scattering and absorption spectroscopic microscopy that for the first time enables the use of large numerical aperture optics to characterize structures in live cells down to 10 nm spatial scales, well beyond the diffraction limit. Not only does this new capability allow high resolution microscopy with light scattering contrast, but it can also be used with almost any light scattering spectroscopic application which employs lenses. We demonstrate that the coherent light scattering contrast based technique allows continuous temporal tracking of the transition from non-cancerous to an early cancerous state in live cells, without exogenous markers. We also use the technique to sense differences in the aggressiveness of cancer in live cells and for label free identification of different grades of cancer in resected tumor tissues.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Coherent confocal light scattering spectroscopic microscopy evaluates cancer progression and aggressiveness in live cells and tissue. · full record | OpenQuestion