Event detection - Revision history

Nano: Expand Nanopore Wiki source page with structured educational content

2026-07-15T01:25:05Z

Expand Nanopore Wiki source page with structured educational content

← Older revision		Revision as of 09:25, 15 July 2026
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	[[File:Patch_clamp_schematic_1.png\|thumb\|right\|320px\|~~Peak or event~~ detection ~~concepts support nanopore~~ signal ~~analysis. Source: Wikimedia Commons, CC BY-SA 4.0~~.]]		[[File:Patch_clamp_schematic_1.png\|thumb\|right\|320px\|Event detection identifies signal deviations from a stable baseline.]]
	'''Event detection''' is part of the Nanopore Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.		'''Event detection''' is part of the Nanopore Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.

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			== Scientific basis ==
			* Detection thresholds should be tied to baseline and local noise.
			* Event boundaries affect dwell time, area, and shape metrics.
			* Interpretations should be tied to measurable quantities, experimental controls, and documented analysis settings.
			* Claims should distinguish direct observations from downstream inference.

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	== Event detection workflow ==		== Event detection workflow ==
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	== Typical applications ==		== Typical applications ==
	* Quantifying blockade depth and dwell time.		* Quantifying blockade depth and dwell time.
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	* Building training data for classification models.		* Building training data for classification models.

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	== ~~Common pitfalls~~ ==		== Quality checks ==
			* Record platform, pore or flow-cell type, chemistry, voltage or acquisition settings, and software versions.
			* Use negative controls, positive controls, and replicate measurements where the claim depends on specificity.
			* Report limitations such as noise, bias, sample degradation, pore instability, or model-dependent analysis.
			* Keep laboratory metadata linked to the raw signal or sequencing run before interpreting results.

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			== Interpretation limits ==
	* Using one threshold for recordings with strong drift.		* Using one threshold for recordings with strong drift.
	* Failing to test false positives on blank controls.		* Failing to test false positives on blank controls.
	* ~~Treating automated output as correct without visual review~~.		* A single result should not be generalized beyond the sample, protocol, instrument state, and analysis pipeline used.
			* Medical, legal, regulatory, or commercial decisions require domain-specific validation beyond this educational summary.

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	== Related pages ==		== Related pages ==
	* [[Data analysis]]		* [[Data analysis]]
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	* [[Troubleshooting]]		* [[Troubleshooting]]

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	== References ==		== References ==
	* [https://en.wikipedia.org/wiki/Detection_theory Signal detection theory]		* [https://en.wikipedia.org/wiki/Detection_theory Signal detection theory]

Nano: Use topic-specific Wikimedia Commons illustrations

2026-07-02T08:47:53Z

Use topic-specific Wikimedia Commons illustrations

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	[[File:~~Detection pics scipy signal find peaks~~.~~svg~~\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]		[[File:Patch_clamp_schematic_1.png\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]
	'''Event detection''' is part of the Nanopore Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.		'''Event detection''' is part of the Nanopore Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.

Nano: Restore visible brand name to Nanopore Wiki

2026-06-30T03:48:07Z

Restore visible brand name to Nanopore Wiki

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	'''Event detection''' is part of the Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.		'''Event detection''' is part of the Nanopore Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.

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2026-06-30T03:42:56Z

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	[[File:Detection pics scipy signal find peaks.svg\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]		[[File:Detection pics scipy signal find peaks.svg\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]
	'''Event detection''' is part of the ~~Nanopore~~ Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.		'''Event detection''' is part of the Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.

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Nano: Use topic-specific Wikimedia Commons illustrations

2026-06-30T02:57:09Z

Use topic-specific Wikimedia Commons illustrations

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	[[File:~~Nanopore_sequencing_principle~~.~~png~~\|thumb\|right\|320px\|~~Nanopore sequencing principle~~. ~~Openly licensed schematic used as a general visual guide~~.]]		[[File:Detection pics scipy signal find peaks.svg\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]
	'''Event detection''' is part of the Nanopore Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.		'''Event detection''' is part of the Nanopore Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.

Nano: Expand Nanopore Wiki source page with structured educational content

2026-06-30T02:12:02Z

Expand Nanopore Wiki source page with structured educational content

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[[File:Nanopore_sequencing_principle.png|thumb|right|320px|Nanopore sequencing principle. Openly licensed schematic used as a general visual guide.]]
'''Event detection''' is part of the Nanopore Wiki learning path. Event detection identifies real blockade or signal-change events in nanopore recordings and extracts comparable features from them.


== Core concepts ==
* Detection thresholds should be tied to baseline and local noise.
* Event boundaries affect dwell time, area, and shape metrics.
* Weak, overlapping, or multi-level events need careful validation.
* False positives can arise from noise, drift, bubbles, clogging, and analysis settings.


== Event detection workflow ==
{| class="wikitable np-knowledge-table"
! Step
! Description
|-
| 1
| Annotate experimental phases and sample addition times.
|-
| 2
| Estimate local baseline and noise.
|-
| 3
| Set candidate thresholds and minimum duration rules.
|-
| 4
| Merge, split, or reject events using documented criteria.
|-
| 5
| Export event tables and plots for review.
|}


== Typical applications ==
* Quantifying blockade depth and dwell time.
* Comparing samples or pore variants.
* Building training data for classification models.


== Common pitfalls ==
* Using one threshold for recordings with strong drift.
* Failing to test false positives on blank controls.
* Treating automated output as correct without visual review.


== Related pages ==
* [[Data analysis]]
* [[Noise and filtering]]
* [[Single-molecule detection]]
* [[Troubleshooting]]


== References ==
* [https://en.wikipedia.org/wiki/Detection_theory Signal detection theory]
* [https://en.wikipedia.org/wiki/Signal_processing Signal processing]
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