Automated Tissue Collection
Automated Tissue Collection - Related Videos
07:14
Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx
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Cited by 21 •
2016
Previous work suggests that the nitrogen isotopic composition of atmospheric nitrogen oxides might distinguish the influence of different sources in the environment. We report on an automated, mobile, field-based method for the high collection efficiency of atmospheric NOx for N isotopic analysis at an hourly time resolution.
11:54
Human Pancreatic Islet Isolation: Part I: Digestion and Collection of Pancreatic Tissue
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Cited by 20 •
2009
Achieving high quality and appropriate quantity of human islets is one of the prominent prerequisites for successful islet transplantation. In this video, we describe step by step the procedures for human pancreatic islet isolation (part I: digestion and collection of pancreatic tissue) using a modified automated method.
07:06
Semi-automated Imaging of Tissue-specific Fluorescence in Zebrafish Embryos
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Cited by 6 •
2014
Described here is a protocol for semi-automated imaging of tissue-specific fluorescence in zebrafish embryos.
09:13
Diagnostic Necropsy and Selected Tissue and Sample Collection in Rats and Mice
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Cited by 49 •
2011
This article describes the procedures for conducting a basic postmortem examination of a mouse or rat, and the collection of basic organs, as well as more challenging sample types from for histological, microbiological, and PCR evaluation.
11:13
Mouse Adipose Tissue Collection and Processing for RNA Analysis
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Cited by 21 •
2018
The purpose of this paper is to present a step-by-step procedure to collect different white adipose tissues from mice, process the fat samples and extract RNA.
FAQs
Consistency comes from linking instrument control, sample positioning, and a predefined collection protocol rather than treating each specimen as an isolated manual task. The system can therefore apply the same handling logic across samples, which helps reduce specimen-to-specimen variability and supports comparisons among tissues collected in different experimental runs.
Sample positioning is a critical control point because the instruments must interact with tissue in a planned, repeatable location. Coordinated positioning helps the system retrieve and section specimens consistently, while reduced manual manipulation can limit opportunities for contamination or tissue damage. These effects directly influence the suitability of material for downstream cancer studies.
Automated tissue collection does not simply increase speed; its main scientific value is standardization. By applying predefined protocols and consistent handling, it can improve precision and make differences between specimens easier to interpret as biological findings rather than handling variation. This is especially relevant when tumor tissue is compared with adjacent normal tissue.
A typical workflow organizes three linked activities: retrieving the tissue, sectioning it, and arranging the resulting samples within an organized collection scheme. Computer-controlled coordination connects these stages to sample positioning and predefined instructions. Keeping the sequence consistent can support tissue quality and make specimens more suitable for histology, molecular profiling, or biomarker analysis.
In cancer research, paired collection of tumor and adjacent normal tissue provides material for examining differences between diseased and nearby non-tumor samples. Automated handling can prepare these specimens for histology, molecular profiling, biomarker analysis, and drug-response studies. Using a consistent workflow helps researchers compare results across experiments and characterize tumor biology more reliably.
The approach is useful when studies require many specimens or repeated experimental comparisons. Its ability to increase throughput while preserving tissue quality can support broader sample processing without abandoning standardized handling. The resulting consistency strengthens comparisons across experiments and may contribute to more reproducible diagnostic and therapeutic research strategies.