Orthogonal Measurements
Orthogonal Measurements - Related Videos
01:26
Orthogonal Trajectories
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2026
Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
08:43
Calibration Procedures for Orthogonal Superposition Rheology
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Cited by 4 •
2020
We present a detailed calibration protocol for a commercial orthogonal superposition rheology technique using Newtonian fluids including end-effect correction factor determination methods and recommendations for best practices to reduce experimental error.
10:32
Orthogonal Protein Purification Facilitated by a Small Bispecific Affinity Tag
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Cited by 7 •
2012
A novel and highly efficient two-step affinity chromatography protocol has been developed and is described in detail. The method is based on a small purification tag with two inherent affinities and is applicable to a wide range of target proteins with different properties.
07:22
Standardized Method for Measuring Collection Efficiency from Wipe-sampling of Trace Explosives
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Cited by 7 •
2017
Optimized sampling protocols and the development of new wipe materials can be facilitated by standardized measurements of collection efficiency from wipe-sampling. Our approach for sampling trace explosives uses an automated device to control speed, force, and distance during wipe-sampling followed by extraction of collected explosives.
12:57
Resonance Fluorescence of an InGaAs Quantum Dot in a Planar Cavity Using Orthogonal Excitation and Detection
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Cited by 5 •
2017
Resonant excitation of a single self-assembled quantum dot can be achieved using an excitation mode orthogonal to the fluorescence collection mode. We demonstrate a method using the waveguide and Fabry-Perot modes of a planar microcavity surrounding the quantum dots. The method allows complete freedom in the detection polarization.
FAQs
Agreement is informative because independent measurements do not share exactly the same error sources or interference risks. When they converge on the same biological finding, the result has support beyond a single assay. This cross-validation can increase confidence that an observed biomarker signal reflects the feature being assessed rather than a method-specific limitation.
Disagreement should be treated as diagnostic information, not merely as a failed experiment. It may indicate bias in one method, sample effects, or susceptibility to interference. Comparing the conditions and error profiles of the measurements can therefore expose limitations in an assay and guide a more cautious interpretation of the biological finding.
Selecting orthogonal measurements requires attention to whether the methods rely on genuinely different instruments, assays, or physical principles. Complementarity matters because methods that share the same vulnerability may reproduce the same misleading result. In biomedical studies, the useful pairing is determined not only by convenience, but also by how differently each method can be affected by interference or sample characteristics.
Repeating a measurement with the same assay can show whether that procedure is reproducible, but it does not test the same vulnerabilities as an independent method. Orthogonal measurements add a different form of evidence by challenging the finding with another measurement approach. This distinction is important when a result will support biomarker validation or clinical interpretation.
A practical workflow begins by choosing complementary ways to assess the biological feature, then obtaining comparable results from the selected instruments or assays. Investigators examine whether the measurements agree and review any discrepancy for bias, sample effects, or interference. The final interpretation should incorporate the pattern across methods rather than relying on one result in isolation.
During biomarker validation, orthogonal measurements can show whether a candidate signal remains consistent when assessed through different analytical approaches. Concordance strengthens confidence in its relevance, whereas discordance identifies issues that require investigation before the marker is treated as dependable. This process helps distinguish a biologically meaningful finding from one limited by a particular assay.
In medicine, the approach supports diagnostic testing and treatment monitoring because reliable interpretation of biological measurements is clinically important. Independent evidence can increase confidence in a diagnostic finding or a change observed during therapy. It also helps clarify disease mechanisms and improves the reproducibility and interpretation of biomedical research.