Spectral-domain Oct
Spectral-domain Oct - Related Videos
11:21
Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
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Cited by 24 •
2013
Photoacoustic ophthalmology (PAOM), an optical-absorption-based imaging modality, provides the complementary evaluation of the retina to the currently available ophthalmic imaging technologies. We report the using of PAOM integrated with spectral-domain optical coherence tomography (SD-OCT) for simultaneous multimodal retinal imaging in rats.
06:19
In Vivo Imaging of Cx3cr1gfp/gfp Reporter Mice with Spectral-domain Optical Coherence Tomography and Scanning Laser Ophthalmoscopy
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Cited by 5 •
2017
This protocol describes how high-resolution imaging techniques such as spectral domain optical coherence tomography and scanning laser ophthalmoscopy can be utilized in small rodents, using an ophthalmic imaging platform system, to obtain information on retinal thickness and microglial cell distribution, respectively.
02:26
Conservation of Protein Domains Over Different Proteins
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2020
Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms. A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
11:15
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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Cited by 30 •
2013
Neuroimaging researchers typically consider the brain's response as the mean activity across repeated experimental trials and disregard signal variability over time as "noise". However, it is becoming clear that there is signal in that noise. This article describes the novel method of multiscale entropy for quantifying brain signal variability in the time domain.
01:21
Three-Domain System of Life
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2025
Ribosomal RNA (rRNA) sequence analysis revealed three distinct groups of cells: eukaryotes, bacteria, and archaea. In 1978, Carl R. Woese proposed the concept of domains, a taxonomic level above kingdoms, to differentiate these groups. He suggested that archaea and bacteria, despite their similar appearance, represent separate domains. Domains differ in rRNA, membrane lipid structure, transfer RNA, and antibiotic sensitivity.In this classification, animals, plants, and fungi belong to the...
FAQs
Keeping the reference arm stationary allows the system to acquire images rapidly rather than requiring reference-arm movement during collection. This design is especially valuable when monitoring biological tissues or engineered constructs over time, because repeated observations can reveal structural changes while avoiding destructive sectioning. The resulting scans can show layered organization, interfaces, and internal defects.
Backscattered light from the sample combines with light from the reference arm, producing an interference spectrum. A spectrometer records that spectrum across the broadband source, and a Fourier transform converts the measured pattern into information from different depths. This processing links optical interference to cross-sectional views of tissue or biomaterial microstructure.
Changes in backscattered light mark internal boundaries and variations in structure within the measured specimen. In engineered biomaterials, these signals can delineate layered microstructure, scaffold interfaces, and defects that may not be visible from the surface. The method therefore provides structural information without cutting the construct into sections for examination.
An imaging setup directs low-coherence broadband light through an interferometer toward the sample while a reference path provides the comparison signal. Backscattered and reference light generate an interference spectrum, which the spectrometer records. Applying a Fourier transform to that measurement produces a cross-sectional, depth-resolved view for evaluating internal organization.
It is useful when researchers need to characterize tissue, inspect scaffolds, monitor cells or organoids, or assess engineered constructs repeatedly. These applications rely on the technique’s ability to visualize internal microstructure without destructive sectioning. As a result, the same specimen can be assessed longitudinally, supporting observation of structural progression during development or evaluation.
Scans can identify the organization of layers, the location of interfaces, and internal defects within a scaffold or engineered construct. Those observations support assessment of construct architecture and provide a basis for tracking changes across repeated measurements. In bioengineering, this structural information complements tissue characterization and monitoring of cells, organoids, and engineered materials.