Evidence map›Paper›PMID 20676081›Full record

ReviewNature methods2010

Going deeper than microscopy: the optical imaging frontier in biology.

Vasilis Ntziachristos

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06800183 (Topical Application of Tartrazine for Enhanced Visualization of Subcutaneous Structures in Dermatology), which is not on this map. Cited by 620 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
620citing papers in PubMed, 2 pooled it
–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.

NCT06800183 early_phase1withdrawnnot on this mapstarted 2026, after this paper: background citation

Topical Application of Tartrazine for Enhanced Visualization of Subcutaneous Structures in Dermatology

TypeinterventionalSponsorJohns Hopkins UniversityRan2026 to 2026Enrolled0ConditionsHealthy, Dermoscopy, Optical ImagingArmsFour-Chamber Tartrazine Patch across 3 Body Sites
3 · Its place in the literature

Who cites it

620 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Sensing forces that shape tumours.Nature nanotechnology · 2026
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560 more citing papers are in PubMed but not listed here.

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

1 author.

Vasilis NtziachristosInstitute for Biological and Medical Imaging, Helmholtz Zentrum München und Technische Universität München, Munich, Germany. v.ntziachristos@tum.de

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical microscopy has been a fundamental tool of biological discovery for more than three centuries, but its in vivo tissue imaging ability has been restricted by light scattering to superficial investigations, even when confocal or multiphoton methods are used. Recent advances in optical and optoacoustic (photoacoustic) imaging now allow imaging at depths and resolutions unprecedented for optical methods. These abilities are increasingly important to understand the dynamic interactions of cellular processes at different systems levels, a major challenge of postgenome biology. This Review discusses promising photonic methods that have the ability to visualize cellular and subcellular components in tissues across different penetration scales. The methods are classified into microscopic, mesoscopic and macroscopic approaches, according to the tissue depth at which they operate. Key characteristics associated with different imaging implementations are described and the potential of these technologies in biological applications is discussed.

Indexed as

MicroscopyMicroscopy, ConfocalMicroscopy, Fluorescence, MultiphotonOptics and PhotonicsTomography

Identifiers

PMID20676081

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.