Macular Volume Scanning
Macular Volume Scanning - Related Videos
09:47
Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
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Cited by 16 •
2021
We describe the preparation of ribbons of serial sections and their collection on large transfer support for use as Array Tomography samples, along with automated imaging procedures in a scanning electron microscope. The protocol allows screening, retrieval, and targeted imaging of local, rare events, and the acquisition of large data volumes.
02:28
Leaky Scanning
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2020
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA. Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...
02:41
Constant Volume Calorimetry
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2020
Calorimeters are useful to determine the heat released or absorbed by a chemical reaction. Coffee cup calorimeters are designed to operate at constant (atmospheric) pressure and are convenient to measure heat flow (or enthalpy change) accompanying processes that occur in solution at constant pressure. A different type of calorimeter that operates at constant volume, colloquially known as a bomb calorimeter, is used to measure the energy produced by reactions that yield large amounts of heat and...
12:03
Differential Scanning Calorimetry
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2023
Source: Danielle N. Beatty and Taylor D. Sparks, Department of Materials Science and Engineering, The University of Utah, Salt Lake City, UT Differential scanning calorimetry (DSC) is an important measurement to characterize thermal properties of materials. DSC is used primarily to calculate the amount of heat stored in a material as it heats up (heat capacity) as well as the heat absorbed or released during chemical reactions or phase changes. However, measurement of this heat can also lead to...
10:24
Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography
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Cited by 13 •
2014
Indocyanine Green Angiography (or ICGA) performed by tail vein injection provides high quality ICGA time course images to characterize abnormalities in mouse choroid.
FAQs
The method acquires closely spaced cross-sectional images across the macula and combines them into a three-dimensional dataset. This reconstruction preserves the spatial relationship between neighboring retinal sections, allowing clinicians to examine tissue changes across an area rather than in a single slice. The resulting volume supports assessment of retinal thickness and structural abnormalities.
Macular volume scanning can use automated measurement tools or manual assessment to evaluate retinal thickness and tissue changes. Automated analysis may provide consistent measurements across the acquired volume, while manual review allows the clinician to assess findings that require visual interpretation. Using these approaches helps connect numerical measurements with the observed retinal structure.
Repeated examinations allow clinicians to compare the macula over time and identify whether tissue changes are progressing, stabilizing, or responding to treatment. This longitudinal information is particularly useful when a single scan cannot show the direction of change. Comparing serial datasets can therefore support assessment of disease activity and help evaluate visual risk.
The workflow begins by acquiring a series of closely spaced cross-sectional scans through the macula. These images are then reconstructed into a volumetric dataset, after which retinal thickness and tissue changes can be measured automatically or manually. Clinicians interpret the measurements and structural findings in relation to the patient’s retinal condition and follow-up needs.
In medicine, this imaging approach supports evaluation of macular edema, age-related macular degeneration, diabetic retinopathy, and other retinal disorders. Its value comes from showing structural changes throughout the macular region, rather than limiting assessment to one location. The information can assist diagnosis and provide a baseline for subsequent monitoring.
Measurements and structural observations from the volumetric dataset can reveal changes associated with disease progression or treatment response. Clinicians can use comparisons between examinations to assess whether the retina is changing in a concerning direction or improving after treatment. These findings help estimate visual risk and inform ongoing patient management decisions.