Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Two-photon excitation microscopy

Two-photon excitation microscopy (TPEF or 2PEF) is a fluorescence imaging technique that is particularly well-suited to image scattering living tissue of up to about one millimeter in thickness. Unlike traditional fluorescence microscopy, where the excitation wavelength is shorter than the emission wavelength, two-photon excitation requires simultaneous…

Applications & Art

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Two-photon excitation microscopy. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Concept

Development

Applications

Dyes and fluorescent proteins for two-photon excitation microscopy

Sources

  • Doi Doi (identifier)
  • ISBN ISBN (identifier)
  • S2CID S2CID (identifier)
  • PMID PMID (identifier)

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Two-photon excitation microscopy

Nodes65
Edges64
Triples26
Avg. degree1.97
Density0.030769
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Two-photon excitation microscopy

Top relations

related to Development · 14
Two-photon excitation microscopy → Compared, Cornell University, In, James Strickler, Longer, MHz, The, The Ti-sapphire, These, They, Two-photon, Watt, Webb, Winfried Denk

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

two-photon excitation microscopy laser fluorescence imaging also used photons absorption tissue light confocal multiphoton due 2pef using image dyes optical

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
laser scanning confocal microscopyinstance ofIsaac Abella showed in 1962 in caesium vapor that two-photon excitation of single atoms is possible.Two-photon excitation fluorescence microscopy has similarities to other confo…0.80text
Raman microscopyinstance ofIsaac Abella showed in 1962 in caesium vapor that two-photon excitation of single atoms is possible.Two-photon excitation fluorescence microscopy has similarities to other confo…0.80text
pinholes to reject out-of-focus fluorescenceinstance ofwhich need to employ elements0.80text
isolated cellsinstance ofFor very thin objects0.80text
single-photoninstance ofFor very thin objects0.80text
glutamateinstance offor photopharmacology including localized uncaging of components0.80text
GABA or isomerization of photoswitchable drugsinstance offor photopharmacology including localized uncaging of components0.80text
and for the imaging of other genetically encoded sensors that report the concentration of neurotransmitters.Currentlyinstance offor photopharmacology including localized uncaging of components0.80text
two-photon microscopy is widely used to image the live firing of neurons in model organisms including fruit fliesinstance offor photopharmacology including localized uncaging of components0.80text
Seta-670instance ofsquaraine dyes0.80text
Seta-700instance ofsquaraine dyes0.80text
Seta-660 exhibit very high 2-photon absorptioninstance ofsquaraine dyes0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.