Evidence map›Paper›PMID 30846704›Full record

ArticleScientific reports2019

Deep-tissue optical imaging of near cellular-sized features.

Xiangnan Dang, Neelkanth M Bardhan, Jifa Qi, Li Gu, Ngozi A Eze, Ching-Wei Lin, Swati Kataria, Paula T Hammond, Angela M Belcher

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Advances in Wearable Bioimaging.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
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  5. Molecular imaging of psoriatic arthritis.Current opinion in rheumatology · 2025
    Review
  6. Review
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  8. Article
  9. Review
  10. Review
  11. Biorobotic Drug Delivery for Biomedical Applications.Molecules (Basel, Switzerland) · 2024
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

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

9 authors.

Xiangnan DangDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Neelkanth M BardhanDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Jifa QiDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Li GuThe David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Ngozi A EzeThe David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Ching-Wei LinThe David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0001-5646-1007
Swati KatariaThe David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Paula T HammondThe David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-9835-192X
Angela M BelcherDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. belcher@mit.edu.

Funding

The Development of Clinical Grade, Targeted Magnetic NanoparticlesU54CA151884 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LANGER, ROBERT SAMUEL · 2010 to 2014
$11.3M
6 · The paper itself

Abstract

Detection of biological features at the cellular level with sufficient sensitivity in complex tissue remains a major challenge. To appreciate this challenge, this would require finding tens to hundreds of cells (a 0.1 mm tumor has ~125 cells), out of ~37 trillion cells in the human body. Near-infrared optical imaging holds promise for high-resolution, deep-tissue imaging, but is limited by autofluorescence and scattering. To date, the maximum reported depth using second-window near-infrared (NIR-II: 1000-1700 nm) fluorophores is 3.2 cm through tissue. Here, we design an NIR-II imaging system, "Detection of Optically Luminescent Probes using Hyperspectral and diffuse Imaging in Near-infrared" (DOLPHIN), that resolves these challenges. DOLPHIN achieves the following: (i) resolution of probes through up to 8 cm of tissue phantom; (ii) identification of spectral and scattering signatures of tissues without a priori knowledge of background or autofluorescence; and (iii) 3D reconstruction of live whole animals. Notably, we demonstrate noninvasive real-time tracking of a 0.1 mm-sized fluorophore through the gastrointestinal tract of a living mouse, which is beyond the detection limit of current imaging modalities.

Indexed as

Adipose TissueAlgorithmsAnimalsBrainBreastCattleEquipment DesignFluorescent DyesGastrointestinal TractHumansImaging, Three-DimensionalMice, NudeMusclesOptical ImagingPhantoms, ImagingSkinFluorescent Dyes

Identifiers

PMID30846704
PMCPMC6405836

What OpenQuestion holds

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Registered trials

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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.