Retina Thickness Measurement
Retina Thickness Measurement - Related Videos
08:17
Organotypic Culture of Full-thickness Adult Porcine Retina
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Cited by 19 •
2011
Here we describe a cost-effective technique for organotypic culture of adult porcine retina for seven days. Briefly, a sterile filter paper was used to lift the neural retina off from the RPE and place photoreceptor side up on an insert raised by a custom-made stand.
03:13
Lymphedema Ultrasonography: A Technique to Measure the Change in Thickness of an Affected Tissue
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2023
This video utilizes ultrasonography for diagnosis and follow-up tests to determine treatment efficacy of Progressive Resistance Exercise (PRE) in breast cancer-related lymphedema (BCRL). Ultrasonography can be applied effectively to ensure diagnosis and treatment of lymphedema.
05:51
Measuring Diaphragm Thickness and Function Using Point-of-Care Ultrasound
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Cited by 9 •
2023
Diaphragm thickness and function can be assessed in healthy individuals and critically ill patients using point-of-care ultrasound. This technique offers an accurate, reproducible, feasible, and well-tolerated method for evaluating diaphragm structure and function.
07:53
Split Retina as an Improved Flatmount Preparation for Studying Inner Nuclear Layer Neurons in Vertebrate Retina
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2024
This work presents an alternative flatmount retina preparation in which the removal of photoreceptor cell bodies enables faster antibody diffusion and improved patch pipette access to inner retinal neurons for immunohistochemistry, in situ hybridization, and electrophysiology experiments.
07:59
Murine Full-thickness Skin Transplantation
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Cited by 41 •
2017
Murine full-thickness skin transplantation is a well-established model to study rejection in an alloimmune setting. Here, we provide a tutorial of each step involved in performing a BALB/c-->C57BL/6 full-thickness skin transplant.
FAQs
Retinal thickness is derived from the separation between software-identified tissue boundaries in an OCT cross-sectional image. The system uses reflected low-coherence light to represent retinal layers, then calculates the distance between selected boundaries. This produces a structural measurement of layer organization rather than a direct measurement of visual performance, although the two can be examined together.
Reliable interpretation depends on identifying corresponding retinal boundaries consistently across images. Because the calculation uses the distance between those boundaries, a change in which layers are selected or recognized can alter the reported thickness. In biological studies, clearly defined boundaries help researchers relate measured differences to tissue organization and compare results across regions or experimental groups.
Regional and longitudinal comparisons add biological context to a single measurement. Differences among retinal regions can show how structure varies within an eye, while repeated measurements can reveal changes associated with development, degeneration, swelling, or treatment response. Comparing experimental groups extends this approach by showing whether structural patterns differ under the conditions being studied.
An OCT-based workflow begins by generating cross-sectional retinal images with reflected low-coherence light. Software then identifies the relevant retinal boundaries and calculates the distance between them. Investigators can organize the resulting values by retinal region, time point, or experimental group, creating a basis for evaluating structural change rather than relying only on visual inspection.
This measurement is useful when a study needs a quantitative structural outcome. Applications in vision biology include tracking retinal development, monitoring degeneration or swelling, and assessing treatment response. It also supports neuroprotection and therapeutic-efficacy studies, where changes in retinal structure can be evaluated alongside visual function and other indicators of biological outcome.
Retina thickness measurement connects tissue-level observations with functional questions in vision research. A measured change describes altered retinal structure, while comparison with visual function helps investigators examine whether microscopic organization and performance change together. This relationship is valuable for interpreting disease progression and therapeutic effects because structural data provide a quantitative counterpart to functional assessment.