Baseline Subtraction
Baseline Subtraction - Related Videos
09:43
Measuring Reaction Time and Donders' Method of Subtraction
0 Views •
2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University The ambition of experimental psychology is to characterize the mental events that support the human ability to solve problems, perceive the world, and turn thoughts into words and sentences. But people cannot see or feel those mental events; they cannot be weighed, combined in test tubes, or grown in a dish. Wanting to study mental life, nonetheless, Franciscus Donders, a Dutch ophthalmologist in the early 1800s, came up with a...
01:22
Detection of Internal Carotid Artery Narrowing Using Digital Subtraction Angiography
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2025
Position a human patient with internal carotid stenosis, a condition characterized by narrowing of the internal carotid artery, on the imaging table for digital subtraction angiography (DSA). Insert an angiocatheter into the common carotid artery at the fourth cervical vertebra level. Capture a pre-contrast X-ray image to record background structures like bones and soft tissues using X-ray irradiation. Administer an iodine-based contrast medium into the carotid artery. The contrast medium...
09:40
Novel Sequence Discovery by Subtractive Genomics
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Cited by 8 •
2019
The purpose of this protocol is to use a combination of computational and bench research to find novel sequences that cannot be easily separated from a co-purifying sequence, which may be only partially known.
12:19
Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe
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Cited by 2 •
2016
We present a protocol to perform subtractive patterning of live cell monolayers on a surface. This is achieved by local and selective lysis of adherent cells using a microfluidic probe (MFP). The cell lysate retrieved from local regions can be used for downstream analysis, enabling molecular profiling studies.
08:57
Improving Infrared Spectroscopy Characterization of Soil Organic Matter with Spectral Subtractions
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Cited by 19 •
2019
SOM underlies many soil functions and processes, but its characterization by FTIR spectroscopy is often challenged by mineral interferences. The described method can increase the utility of SOM analysis by FTIR spectroscopy by subtracting mineral interferences in soil spectra using empirically obtained mineral reference spectra.
FAQs
The baseline estimate determines which portion of the recorded signal is treated as background rather than as a biological response. Researchers can derive it from a blank, a reference measurement, or regions that lack the feature of interest. Selecting an appropriate source reduces systematic error and improves the accuracy of comparisons and quantification.
A blank provides a measurement of background without the relevant sample signal, while a reference measurement supplies a comparison signal for the experimental data. Alternatively, researchers can identify regions in the recorded data that do not contain the feature of interest. Each approach estimates background from a different source, so the choice should match the measurement context.
Point-by-point subtraction applies the estimated background correction across the individual data points in the recorded measurement. This approach supports interpretation of changes at specific positions in a signal, rather than treating the entire measurement as one value. It is especially relevant when researchers need to evaluate peaks or responses in biological data.
Background signal can obscure differences that arise from the biological samples themselves. Subtracting an appropriate baseline reduces that interfering contribution before measurements are compared, helping researchers distinguish meaningful changes more clearly. The corrected data can therefore support more reliable comparisons and quantitative interpretation across samples measured by related biological techniques.
First, record the measurement containing the biological signal. Next, obtain a blank, reference measurement, or signal region suitable for estimating the background. Align that estimate with the recorded data and subtract it point by point. Finally, inspect the corrected signal to determine whether peaks or responses are clearer for comparison or quantification.
Baseline subtraction can clarify signals in spectroscopy, fluorescence measurements, microscopy, and electrophysiology. In each case, background signal may make a biologically meaningful peak, response, or change harder to interpret. Applying the correction before analysis helps expose the relevant measurement features and supports more consistent comparisons among biological samples or recordings.
The principal outcome is a corrected measurement in which the estimated background contribution has been removed. This can make biologically meaningful changes easier to identify, reduce systematic error, and improve the reliability of quantification. The correction is therefore useful when researchers need to compare samples or interpret signal features rather than background differences.