Automated Scanning
Automated Scanning - Related Videos
02:28
Leaky Scanning
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2020
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA. Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...
09:33
Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System
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Cited by 2 •
2018
Here we describe a protocol for the automated segmentation of fluorescently labeled tissues on slides using a widefield high-content analysis system (WHCAS). This protocol has wide-ranging applications in any field which involves the quantitation of fluorescent markers in biological tissues including the biological sciences, medical engineering, and health sciences.
08:06
Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays
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Cited by 1 •
2016
Peptide adsorption to plasticware during traditional tip-based serial dilutions can significantly impact potency determination and confound the understanding of structure-activity relationships used for lead identification and lead optimization phases of drug discovery. Here methods for automated acoustic non-contact serial dilution of peptide samples are described.
04:32
Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum
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Cited by 4 •
2017
Many biological structures lack easily definable landmarks, making it difficult to apply modern morphometric methods. Here we illustrate methods to study the mouse baculum (a bone in the penis), including dissection and microCT scanning, followed by computational methods to define semi-landmarks that are used to quantify size and shape variation.
12:03
Differential Scanning Calorimetry
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2023
Source: Danielle N. Beatty and Taylor D. Sparks, Department of Materials Science and Engineering, The University of Utah, Salt Lake City, UT Differential scanning calorimetry (DSC) is an important measurement to characterize thermal properties of materials. DSC is used primarily to calculate the amount of heat stored in a material as it heats up (heat capacity) as well as the heat absorbed or released during chemical reactions or phase changes. However, measurement of this heat can also lead to...
FAQs
Scan paths determine where the system examines a sample or image, while imaging parameters specify how measurements are collected. Together, these programmed settings create a consistent examination rather than relying on changing manual observations. Their value is practical for covering biological material systematically and producing datasets that can be compared across experimental conditions.
These algorithmic tasks answer different questions about the collected data. Detection identifies features that meet specified criteria, classification assigns detected features to defined categories, and quantification measures them. Separating these functions allows a scanning workflow to identify biological features, organize them consistently, and generate measurements for comparing samples or experimental conditions.
A programmed system applies predefined paths, imaging parameters, and analytical criteria across the examined material. This reduces dependence on manual observation, which can vary during repeated measurements. More consistent data make it easier to compare experimental conditions, identify patterns in large datasets, and support reproducible results across studies.
Manual observation requires a person to examine and interpret material directly, whereas an automated workflow uses programmed instruments and software to collect and analyze measurements. The automated approach is especially useful when many samples or images must be processed using the same criteria, although its results still depend on the predefined scanning and analysis settings.
A typical workflow begins by selecting the biological samples, images, or experimental data to examine. Researchers then establish scanning paths or imaging parameters and specify criteria for detecting, classifying, or quantifying features. The system collects measurements, after which the resulting data can be processed to compare conditions, identify patterns, or evaluate experimental effects.
Supported applications include high-throughput microscopy, cell counting, tissue analysis, and screening genetic or drug-related effects. These uses benefit from examining many images or samples systematically and applying consistent analytical criteria. The resulting measurements help researchers evaluate biological differences across experimental conditions rather than relying only on individual visual observations.
The process can produce measurements of biological features along with their detected presence, assigned categories, or quantified characteristics. Researchers can use these outputs to compare experimental conditions, identify patterns in biological data, and assess genetic or drug-related effects. Consistent processing also supports reproducible results when similar analyses are performed across studies.