Automated Ihc Stainer
Automated Ihc Stainer - Related Videos
08:29
Drosophila Larval IHC
0 Views •
2023
Immunohistochemistry (IHC) is a technique used to visualize the presence and location of proteins within tissues. Drosophila larvae are particularly amenable to IHC because of the ease with which they can be processed for staining. Additionally, the larvae are transparent, meaning that some tissues can be visualized without the need for dissection. In IHC, proteins are ultimately detected with antibodies that specifically bind to “epitopes” within the protein of interest. In order to preserve...
08:06
Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays
0 Views •
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.
10:55
Digital Microfluidics for Automated Proteomic Processing
0 Views •
Cited by 30 •
2009
Digital Microfluidics is a technique characterized by the manipulation of discrete droplets (~nL - mL) on an array of electrodes by the application of electrical fields. It is well-suited for carrying out rapid, sequential, miniaturized automated biochemical assays. Here, we report a platform capable of automating several proteomic processing steps.
01:17
Marketing Automation
0 Views •
2025
In today's fast-paced digital landscape, businesses are constantly seeking ways to streamline operations, improve customer engagement, and ultimately drive growth. One of the most transformative tools in this endeavor is marketing automation. Marketing automation refers to the use of software and technology to automate various marketing tasks and workflows, such as email marketing, social media management, lead generation, and customer segmentation. By automating these repetitive tasks,...
08:48
High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization
0 Views •
Cited by 5 •
2012
Genome assemblies based on massively parallel DNA sequencing technologies are usually highly fragmented. The development of physical chromosome maps can potentially improve genome assemblies. Here, we demonstrate innovative approaches to chromosome preparation, fluorescent in situ hybridization, and imaging that significantly increase throughput of the physical map development.
FAQs
Consistency comes from applying reagents under standardized conditions and in a controlled sequence rather than relying on repeated manual handling. The instrument coordinates steps such as deparaffinization, antigen retrieval, antibody application, and signal development. This standardization helps researchers compare protein localization across specimens with less variation attributable to workflow differences.
Antigen retrieval is an important stage between deparaffinization and antibody-based detection. Within the automated sequence, it prepares tissue sections for the subsequent primary antibody step, helping the staining workflow proceed in a controlled and repeatable manner. Its inclusion supports consistent access to the protein targets being evaluated across cancer research specimens.
The primary antibody is used to identify the protein target in the tissue section, while the secondary antibody participates in the downstream detection system. A detectable labeling system then produces a signal at target sites. This linked sequence allows researchers to associate the observed staining pattern with the location of a specific protein within the specimen.
A typical run coordinates deparaffinization, antigen retrieval, primary antibody application, secondary antibody application, and a detectable labeling step. These operations occur in an established sequence so that tissue sections receive the required reagents under controlled conditions. Coordinating the workflow reduces manual intervention and supports more efficient, reproducible processing of multiple specimens.
Reducing manual handling helps standardize staining conditions across specimens and limits workflow-related variation. That consistency matters when researchers compare biomarker localization or protein expression between samples. An automated workflow also improves efficiency, allowing laboratory teams to process studies with a more uniform sequence and generate results that are better suited to translational comparisons.
In cancer research, automated staining supports tumor characterization and the evaluation of diagnostic and prognostic markers. Researchers can examine where selected proteins are localized and compare expression patterns across tissue specimens. These consistent results contribute to translational studies by providing a standardized basis for investigating biomarkers in relation to cancer specimens and research objectives.