Tag Retention Analysis
Tag Retention Analysis - Related Videos
03:10
Soil Core Sample Collection for Water Retention Property Analysis
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2026
Source:Alessia J. Marchesan1, Guillermo Hernandez Ramirez11Renewable Resources, University of Alberta. This video demonstrates the technique for collecting a soil sample for hydraulic property analysis. The sampling area is cleared, and the top crust is evacuated. The sampling ring is then placed into the soil to collect the sample. The ring with the sample is then cleaned, labeled, packed, and transferred undisturbed for analysis.
02:42
Determination of the Calcium Retention Capacity of Isolated Mitochondria
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2025
This video demonstrates the procedure to assess mitochondrial calcium retention capacity by monitoring real-time changes in fluorescence as mitochondria uptake calcium. This assay is useful for studying mitochondrial function and calcium-related processes, including apoptosis and neurodegenerative diseases.
11:01
Ferromagnetic Bare Metal Stent for Endothelial Cell Capture and Retention
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Cited by 12 •
2015
Our goals were to design, manufacture and test ferromagnetic stents for endothelial cell capture. Ten stents were tested for fracture and 10 more stents were tested for retained magnetism. Finally, 10 stents were tested in-vitro and 8 more stents were implanted in 4 pigs to show cell capture and retention.
05:53
Mitochondrial Ca2+ Retention Capacity Assay and Ca2+-triggered Mitochondrial Swelling Assay
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Cited by 11 •
2018
This protocol aims to describe a method to examine the Ca2+ retention capacity and Ca2+- triggered mitochondrial swelling of isolated mitochondria of SH-SY5Y cells step-by-step.
21:55
Chromatin Interaction Analysis with Paired-End Tag Sequencing (ChIA-PET) for Mapping Chromatin Interactions and Understanding Transcription Regulation
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Cited by 17 •
2012
Chromatin Interaction Analysis by Paired-End Tag Sequencing (ChIA-PET) is a method for de novo detection of chromatin interactions, for better understanding of transcriptional control.
FAQs
The analysis treats an absent tag record cautiously because a subject may have retained its tag but not been recaptured, resighted, or recorded by an instrument. By comparing observations across time and accounting for incomplete detection, researchers estimate retention rather than interpreting every missing record as tag loss. This distinction improves the accuracy of monitoring results.
Retention rates show how consistently identifying tags remain available for later observations. If retention declines over time, monitoring records may represent fewer tagged subjects even when the organisms remain present. Incorporating those rates helps researchers judge the reliability of trend estimates and avoid drawing unsupported conclusions about movement, survival, population size, or habitat use.
Retention models can show whether missing observations reflect tag loss or incomplete detection rather than a genuine change in the monitored organism or sample. This helps identify uneven representation in the records, a form of sampling bias that can distort environmental assessments. Recognizing the bias allows researchers to interpret monitoring patterns more cautiously and refine study methods.
Appropriate tags and consistent field protocols provide more dependable records for estimating retention over time. Researchers can use retention results to evaluate whether a selected tag remains suitable for the study and whether collection procedures support reliable recapture, resighting, or instrument records. Improving these choices strengthens the evidence used in long-term ecological assessments.
Researchers first identify marked organisms or environmental samples, then follow their records through recapture, resighting, or instrument observations. They organize these observations over time and estimate retention rates while accounting for tag loss and incomplete detection. The resulting analysis indicates how dependable the tag-based records are for interpreting subsequent environmental monitoring data.
Researchers use this analysis whenever conclusions depend on repeated records from tagged organisms or marked environmental samples. It is especially relevant to studies of animal movement, survival, population size, and habitat use, where missing or disappearing tags can affect interpretation. Retention estimates help determine whether observed patterns reflect ecology, recording limitations, or loss of identification.
The analysis provides estimated retention rates and a clearer basis for evaluating tag-based observations over time. It can indicate potential sampling bias, support better interpretation of monitoring records, and guide improvements in tag selection and field protocols. These outcomes help environmental researchers build more reliable assessments of organisms, populations, and habitat-related patterns.