Automated Labeling Module
Automated Labeling Module - Related Videos
10:59
Use of Label-free Optical Biosensors to Detect Modulation of Potassium Channels by G-protein Coupled Receptors
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Cited by 5 •
2014
Optical biosensor techniques can detect changes in mass near the plasma membrane in living cells and allow one to follow cellular responses in both individual cells and populations of cells. This protocol will describe detection of the modulation of potassium channels by G-protein coupled receptors in intact cells using this approach.
11:01
Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes
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Cited by 8 •
2021
Automated assays using multi-well microplates are advantageous approaches for identifying pathway regulators by allowing the assessment of a multitude of conditions in a single experiment. Here, we have adapted the well-established macropinosome imaging and quantification protocol to a 96-well microplate format and provide a comprehensive outline for automation using a multi-mode plate reader.
09:19
Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
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Cited by 3 •
2025
This protocol presents a step-by-step guide for the Simultaneous Label-free Autofluorescence Multi-harmonic (SLAM) microscopic technique, including details on how to generate the laser light source, prepare a tissue sample, conduct imaging, and analyze the data. SLAM advances nonlinear microscopy by measuring four complementary label-free contrasts to investigate the tissue microenvironment.
08:01
A Streamlined, Label-Free Real-Time 50% Tissue Culture Infectious Dose (TCID50) Assay using Impedance for Automated Viral Titer Quantification
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2026
The TCID50 assay reported here leverages label-free real-time impedance measurements and the system's Virology module to objectively monitor virus-induced cytopathic effects (CPE) in real time. This streamlined assay significantly reduces hands-on time while supporting high-throughput, quantitative kinetic CPE measurements and enabling automated, real-time TCID50 calculations.
14:44
A Protocol for the Identification of Protein-protein Interactions Based on 15N Metabolic Labeling, Immunoprecipitation, Quantitative Mass Spectrometry and Affinity Modulation
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Cited by 9 •
2012
We present a variation of the QUICK (QUantitative Immunoprecipitation Combined with Knockdown) approach that was introduced previously to distinguish between true and false protein-protein interactions. Our approach is based on 15N metabolic labeling, the modulation of affinities of protein-protein interactions by the presence/absence of ATP, immunoprecipitation, and quantitative mass spectrometry.
FAQs
Programmed instructions coordinate sample identification with controlled dispensing or printing, so the label remains linked to the material through downstream analysis. Consistent timing and placement provide the operational connection between the physical specimen and its recorded experiment. This linkage is especially useful when cancer studies generate many tumor samples that must remain distinguishable throughout processing.
Programmed instructions establish when and where labeling occurs, while controlled dispensing or printing standardizes the physical application. Together, these elements reduce variation caused by manual handling and help prevent labels from being associated with the wrong specimen, slide, or assay vessel. The result is more consistent sample preparation and stronger traceability for later analysis.
Compared with manual handling, the module provides more consistent timing and placement while reducing the number of direct handling steps. That can lower opportunities for sample mix-ups and make preparation more uniform across a workflow. In cancer research, this consistency supports larger study sets and improves the reliability of comparisons between tumor samples processed in different experiments.
First, the workflow uses programmed instructions and sample identification to determine the label associated with each material. The module then applies the label through a controlled dispensing or printing step, using consistent timing and placement. Afterward, the labeled specimen, slide, or assay vessel can proceed to downstream analysis with its experimental metadata connected.
In cancer research, the approach supports histology, immunostaining, molecular assays, and high-throughput workflows. Its value differs by workflow, but the common benefit is standardized sample preparation across larger study sets. By keeping tumor materials identifiable during these applications, it helps researchers organize experimental outputs and compare samples more reliably across experiments and laboratories.
Consistent labeling strengthens traceability and data quality, which supports more reliable comparisons among tumor samples. It also helps laboratories process larger study sets without relying on the same degree of manual handling. These benefits matter when results from histology, immunostaining, or molecular assays must be associated with the correct material and evaluated across experiments or laboratories.