Lucas Platform
Lucas Platform - Related Videos
02:35
The Water Maze with Platform Relocation: A Method to Assess Working Memory
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2023
In this video, we describe the Morris water maze test with platform relocation, a navigational task used to study working memory in rodents.
16:46
A Novel Stretching Platform for Applications in Cell and Tissue Mechanobiology
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Cited by 6 •
2014
We present in this article a novel stretching platform that can be used to investigate single cell responses to complex anisotropic biaxial mechanical deformation and quantify the mechanical properties of biological tissues.
10:12
A Robotic Platform for High-throughput Protoplast Isolation and Transformation
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Cited by 21 •
2016
A high-throughput, automated, tobacco protoplast production and transformation methodology is described. The robotic system enables massively parallel gene expression and discovery in the model BY-2 system that should be translatable to non-model crops.
14:16
Fluorescence detection methods for microfluidic droplet platforms
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Cited by 20 •
2011
Droplet-based microfluidic platforms are promising candidates for high throughput experimentation since they are able to generate picoliter, self-compartmentalized vessels inexpensively at kHz rates. Through integration with fast, sensitive and high resolution fluorescence spectroscopic methods, the large amounts of information generated within these systems can be efficiently extracted, harnessed and utilized.
08:19
Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics
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Cited by 24 •
2009
Lensfree on-chip imaging and characterization of cells is illustrated. This on-chip cell imaging approach provides a compact and cost-effective tool for medical diagnostics and high-throughput cell biology applications, making it especially suitable for resource poor settings.
FAQs
It improves comparison by coordinating experimental conditions, defined biological inputs, and instrument-based measurements within a consistent workflow. Keeping these elements aligned helps researchers distinguish biological differences from variation introduced by sample handling or measurement procedures. This consistency is especially valuable when multiple samples must be evaluated side by side or when results need to remain comparable across related experiments.
Controlled conditions limit unwanted differences during experimentation, making observed responses easier to interpret. The platform links those conditions with standardized sample preparation and quantitative measurement, so researchers can assess how biological systems respond to defined experimental changes. This approach supports more reliable comparisons and can help identify response patterns that might be obscured by inconsistent procedures.
Quantitative measurements convert biological responses into data that can be compared across samples and experimental conditions. Instrument-based collection reduces reliance on purely descriptive observations and supports consistent analysis within the workflow. In practice, these measurements can help researchers examine cellular behavior, molecular interactions, or responses to environmental changes using results organized for direct comparison.
A typical workflow coordinates three connected activities: preparing biological samples, conducting experiments under defined conditions, and collecting quantitative measurements with instruments. The value comes from treating these stages as an integrated process rather than isolated tasks. Linking preparation to experimentation and analysis can reduce procedural variation while making the resulting data easier to evaluate across samples.
Researchers may choose it when a study requires consistent handling of biological inputs, controlled experimental conditions, and comparable measurements. It can support investigations of cellular behavior, molecular interactions, and biological responses to environmental or experimental changes. The approach is also relevant when teams need a shared workflow that improves efficiency and facilitates collaboration during basic or biotechnology research.
The platform can produce standardized, quantitatively measured results that support comparisons among biological samples and experimental conditions. These outcomes may help researchers characterize cellular or molecular responses, organize data for collaborative studies, and evaluate changes under defined circumstances. Its broader value lies in generating reproducible information that can inform basic research, biotechnology, and future analytical method development.