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Related Concept Videos

Calibration Curves: Linear Least Squares01:20

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
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Related Experiment Video

Updated: Jan 16, 2026

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
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Enhanced calibration method for wall-mounted RGSC cameras: Mitigating baseline drift caused by CT couch sagging.

Jiangtao Wang1, Jinyou Hu1, Xiangxiang Liu1

  • 1Cancer Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.

Plos One
|September 29, 2025
PubMed
Summary

This study introduces an improved calibration technique to reduce errors in respiratory gating systems caused by CT couch sagging. The new method significantly decreases baseline drift, enhancing tumor motion management accuracy.

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Area of Science:

  • Medical Imaging Physics
  • Radiotherapy Technology
  • Image-Guided Therapy

Background:

  • CT couch sagging introduces noise into respiratory signals, affecting tumor motion management accuracy.
  • Accurate respiratory gating relies on precise tracking of patient motion during CT scans.

Purpose of the Study:

  • To present an enhanced calibration method for the wall-mounted Respiratory Gating for Scanner (RGSC) camera.
  • To reduce calibration uncertainty and mitigate baseline drift caused by CT couch sagging.

Main Methods:

  • A 70kg weight simulated patient load on the CT table.
  • Reflector blocks were precisely positioned using a laser alignment system and CT console.
  • Calibration measurements were performed at nine points across lateral and longitudinal positions, with Varian's method used for comparison.

Main Results:

  • Block positioning uncertainty was reduced to the sub-millimeter level.
  • Residual baseline drift was significantly mitigated from 2.84 ± 0.22 mm to 0.64 ± 0.06 mm (p<0.001).

Conclusions:

  • The proposed calibration method robustly minimizes positioning uncertainty and reduces baseline drift from CT couch sagging.
  • This enhances the repeatability and accuracy of wall-mounted camera calibration.
  • The method's versatility supports both wall- and ceiling-mounted cameras, expanding clinical utility.