Toolkit/spectral imaging system based on liquid crystal tunable filters

spectral imaging system based on liquid crystal tunable filters

Assay Method·Research·Since 2004

Also known as: liquid crystal tunable filter-based spectral imaging, spectral imaging system

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

Using a spectral imaging system based on liquid crystal tunable filters, we were able to separate individual spectral species on a pixel-by-pixel basis.

Usefulness & Problems

Why this is useful

This imaging system separates different fluorescent spectral species on a pixel-by-pixel basis. In the abstract it is used to support dual-color whole-body imaging of host vessels and tumor cells.; separating individual spectral species on a pixel-by-pixel basis; supporting non-invasive whole-body dual-color imaging

Source:

This imaging system separates different fluorescent spectral species on a pixel-by-pixel basis. In the abstract it is used to support dual-color whole-body imaging of host vessels and tumor cells.

Source:

separating individual spectral species on a pixel-by-pixel basis

Source:

supporting non-invasive whole-body dual-color imaging

Problem solved

It helps resolve multiple fluorescent signals in the same image so host and tumor components can be distinguished non-invasively.; disambiguates overlapping fluorescent signals in multicolor imaging

Source:

It helps resolve multiple fluorescent signals in the same image so host and tumor components can be distinguished non-invasively.

Source:

disambiguates overlapping fluorescent signals in multicolor imaging

Problem links

disambiguates overlapping fluorescent signals in multicolor imaging

Literature

It helps resolve multiple fluorescent signals in the same image so host and tumor components can be distinguished non-invasively.

Source:

It helps resolve multiple fluorescent signals in the same image so host and tumor components can be distinguished non-invasively.

Published Workflows

Objective: Develop and apply mouse fluorescence-imaging models that enable real-time visualization of tumor angiogenesis in vivo.

Why it works: The described models use fluorescent protein labeling to create optical contrast or compartment-specific color coding, allowing tumor-associated vessels to be visualized in vivo. Additional spectral separation and skin-flap-assisted imaging are described as improving signal discrimination and detection sensitivity.

contrast between bright fluorescent tumors and nonluminous induced capillariescolor separation between host and tumor compartmentsnestin-driven GFP reporting of nascent vesselssurgical orthotopic implantationdual-color fluorescence imagingspectral imaging with liquid crystal tunable filterswhole-body optical imagingintravital imaging

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete measurement method used to characterize an engineered system.

Target processes

No target processes tagged yet.

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor

It requires spectral imaging hardware based on liquid crystal tunable filters and fluorescently labeled specimens with separable spectra.; requires a spectral imaging system based on liquid crystal tunable filters

Independent follow-up evidence is still limited. Validation breadth across biological contexts is still narrow. Independent reuse still looks limited, so the evidence base may be fragile. No canonical validation observations are stored yet, so context-specific performance remains under-specified.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1applicationsupports2004Source 1needs review

The spectral dual-color imaging approach non-invasively visualized host GFP-expressing vessels within an RFP-labeled orthotopic human breast tumor by real-time whole-body imaging.

Claim 2capabilitysupports2004Source 1needs review

A spectral imaging system based on liquid crystal tunable filters separates individual spectral species on a pixel-by-pixel basis.

Claim 3capabilitysupports2004Source 1needs review

RFP-expressing tumors transplanted to nestin-GFP mice enable specific visualization of nascent vessels in skin-growing tumors such as melanoma.

Approval Evidence

1 source2 linked approval claimsfirst-pass slug spectral-imaging-system-based-on-liquid-crystal-tunable-filters
Using a spectral imaging system based on liquid crystal tunable filters, we were able to separate individual spectral species on a pixel-by-pixel basis.

Source:

applicationsupports

The spectral dual-color imaging approach non-invasively visualized host GFP-expressing vessels within an RFP-labeled orthotopic human breast tumor by real-time whole-body imaging.

Source:

capabilitysupports

A spectral imaging system based on liquid crystal tunable filters separates individual spectral species on a pixel-by-pixel basis.

Source:

Comparisons

Source-stated alternatives

The abstract does not name a direct alternative instrument, but it presents this system as part of the dual-color imaging approach.

Source:

The abstract does not name a direct alternative instrument, but it presents this system as part of the dual-color imaging approach.

Source-backed strengths

enables pixel-by-pixel spectral separation

Source:

enables pixel-by-pixel spectral separation

Compared with imaging

The abstract does not name a direct alternative instrument, but it presents this system as part of the dual-color imaging approach.

Shared frame: source-stated alternative in extracted literature

Strengths here: enables pixel-by-pixel spectral separation.

Source:

The abstract does not name a direct alternative instrument, but it presents this system as part of the dual-color imaging approach.

Compared with imaging surveillance

The abstract does not name a direct alternative instrument, but it presents this system as part of the dual-color imaging approach.

Shared frame: source-stated alternative in extracted literature

Strengths here: enables pixel-by-pixel spectral separation.

Source:

The abstract does not name a direct alternative instrument, but it presents this system as part of the dual-color imaging approach.

Ranked Citations

  1. 1.

    Extracted from this source document.