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Related Concept Videos

Thin-Walled Hollow Shafts01:15

Thin-Walled Hollow Shafts

194
In analyzing a thin-walled hollow shaft subjected to torsional loading, a segment with width dx is isolated for examination. Despite its equilibrium state, this segment faces torsional shearing forces at its ends. These forces are quantitatively described by the product of the longitudinal shearing stress on the segment's minor surface and the area of this surface, leading to the concept of shear flow. This shear flow is consistent throughout the structure, indicating a uniform distribution...
194

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Peak Cone Density Predicted from Outer Segment Length Measured on Optical Coherence Tomography.

Heather Heitkotter1, Mitchell T Allphin2, Ana Untaroiu3

  • 1Department of Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, Milwaukee, WI, USA.

Current Eye Research
|December 26, 2023
PubMed
Summary

Optical coherence tomography (OCT) outer segment length measurements can predict cone density, but with modest agreement compared to adaptive optics. Further research may yield a clinically relevant marker of cone structure.

Keywords:
AOSLOOCTcone densityfoveaouter segment

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Area of Science:

  • Ophthalmology
  • Biomedical optics
  • Retinal imaging

Background:

  • Cone density is a crucial metric for retinal health.
  • Optical coherence tomography (OCT) and adaptive optics scanning light ophthalmoscopy (AOSLO) are advanced imaging techniques.
  • Accurate cone density measurement is vital for diagnosing and monitoring retinal diseases.

Purpose of the Study:

  • To compare peak cone density predicted from outer segment length (OSL) measured by OCT with direct measures from AOSLO.
  • To evaluate the accuracy of OSL measurements from OCT in predicting cone density.

Main Methods:

  • Analyzed OCT line scans from 42 healthy participants.
  • Estimated maximum OSL using peak-to-peak and slope methods.
  • Predicted peak cone density using a geometrical model and compared it with direct AOSLO measurements.

Main Results:

  • The peak-to-peak method showed a mean bias of 6,812 cones/mm² compared to direct measures, with 50% of participants within 10% difference.
  • The slope method showed a larger mean bias of -17,929 cones/mm², with only 41% of participants within 10% difference.
  • Observer bias for OSL estimation was less than 2 µm.

Conclusions:

  • OCT-derived OSL measurements show modest agreement with direct cone density from AOSLO.
  • Current methods are imperfect predictors of cone density.
  • Further exploration could identify a clinically relevant marker of cone structure using OCT.