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false excitation

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "false excitation" is correct and usable in written English.
It can be used in contexts related to science, engineering, or psychology, where it refers to a situation where a stimulus leads to a response that is not genuine or accurate. Example: "The experiment showed that the false excitation of the neurons led to misleading results in the data analysis."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

This error analysis, found in the companion paper (Part I), is applied in deriving corrections for actual measurements, in the assessment of the excitation's quality and in judging the sensitivity of the measurement object to false excitation.

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

It is shown that the maximum error is comprised of two distinct parts: one due to an erroneous input of rotation due to false excitations and the other due to errors in the measurement of the moment.

SE-MPM images had observable cross-excitation and false positive bleed-through of green fluorescence signal in the red channel (yellow cells Figure 4c).

The emotional state of the highly activated modes of anger or stressed speech is caused by the fast air flow which causes vortices located near the false vocal folds providing additional excitation signals other than the pitch.

All fluorescence microscopy images presented here are false-color images acquired with the excitation and emission filter settings being Ex470/40 Em525/50 for the Alexa Fluor 488 and Oregon Green dye, Ex531/40 Em593/40 for the NBD and the Alexa Fluor 555 dye, and Ex620/60 Em700/75 for the Alexa 633 and Alexa 647 dye.

Science

ACS Nano

We report increased signal-to-noise ratios and decreased false positive emission bleed-through using this novel multiple-excitation MPM (ME-MPM) compared to conventional single-excitation MPM (SE-MPM) in a variety of multi-color imaging applications.

Under identical VBF settings, SE-MPM at 970 nm achieved similar signal intensity as ME-MPM but showed increased cross-excitation and false-positive bleed-through in the emission channels, thereby adding ambiguity to the final image.

For each staining, one-two series from three to five different individuals were analyzed per genotype using a confocal microscope with 1, 2 or 3 lines of excitation, in sequential scanning in order to avoid false positives.

Science

Plosone

Even better performance in terms of false alarm rate, would be an instrument utilizing two UV excitation wavelengths, as asserted by publications on laser induced fluorescence measurements on individual particle aerosols [ 26, 27, 29, 30].

The excitation time was increased to test for a possible false negative connection.

Science

eLife

However, as we noted earlier, the SE-MPM setup required systematic evaluation of excitation at several intermediate wavelengths to find the optimal wavelength to excite both fluorophores relatively equally without evoking false positive bleed-through signal, and this led to slower experimental set up times and increased exposure to excitation light before the time-lapse imaging could begin.

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Expert writing Tips

Best practice

When using the phrase "false excitation" in scientific writing, clearly define the context in which the excitation is considered false. Specify the expected normal excitation for comparison to avoid ambiguity.

Common error

Avoid using "false excitation" when you actually mean a weak or diminished excitation. "False excitation" implies a misleading or incorrect signal, whereas weak excitation simply refers to the signal's intensity.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

89%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "false excitation" functions primarily as a noun phrase, where "false" modifies the noun "excitation". It indicates an excitation event that is misleading, incorrect, or not genuine. As Ludwig AI explains, this phrase is usable in English and refers to a stimulus leading to a response that is not genuine or accurate.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "false excitation" is a scientifically relevant term that describes misleading or incorrect activation signals, as supported by Ludwig AI. Predominantly used in academic and scientific contexts, this phrase necessitates precise usage to avoid confusion with similar concepts like weak excitation. While less common, understanding its proper application is crucial for accurate data interpretation. Alternative phrases, like "spurious stimulation", provide nuanced options for expressing similar concepts. For best practice, specify the normal expected excitation to avoid ambiguity. In essence, the accurate application of "false excitation" reinforces the integrity of scientific discourse.

FAQs

How is "false excitation" typically used in scientific research?

In scientific research, "false excitation" often refers to an incorrect or misleading signal that mimics a real response. For example, in fluorescence microscopy, it can refer to bleed-through between channels.

What are some synonyms for "false excitation"?

Synonyms for "false excitation" include "spurious stimulation", "inaccurate activation", or "erroneous triggering" depending on the context.

How do I prevent "false excitation" in experiments?

To prevent "false excitation", ensure proper calibration of equipment, use appropriate controls, and carefully select excitation and emission settings to minimize cross-talk or bleed-through.

What is the difference between "false excitation" and "background noise"?

"False excitation" implies a signal that seems genuine but is incorrect, while "background noise" refers to random, unwanted signals that obscure the real data.

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Source & Trust

89%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

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