Publication

Device for high- throughput sample slicing and characterization

Philippe Renaud, Robert Meissner
2017
Patents

Abstract

The invention relates to devices and systems for use in the slicing, separation and possible disposal of slices of a sample, such as a bodily tissue sample. The invention relates to a multi-blade chopper and a guide track comprising knobs along its surface designed to preferably operate in couple in order to cut and separate/dispose a sliced sample in an easy and quick manner. The chopper can be connected in some embodiments to means for electrically activate its cutting elements for working as electrodes so that the passive electrical characteristics of the sample can be analysed upon the cut.

Official source

https://infoscience.epfl.ch/entities/publication/e48257dd-f726-4861-998f-5fb2d91d98aa

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Philippe Renaud, Robert Meissner
2017
Patents

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/e48257dd-f726-4861-998f-5fb2d91d98aa

About this result

Related concepts (10)

Simple random sample

In statistics, a simple random sample (or SRS) is a subset of individuals (a sample) chosen from a larger set (a population) in which a subset of individuals are chosen randomly, all with the same probability. It is a process of selecting a sample in a random way. In SRS, each subset of k individuals has the same probability of being chosen for the sample as any other subset of k individuals. A simple random sample is an unbiased sampling technique. Simple random sampling is a basic type of sampling and can be a component of other more complex sampling methods.

Sampling (statistics)

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population. Sampling has lower costs and faster data collection compared to recording data from the entire population, and thus, it can provide insights in cases where it is infeasible to measure an entire population.

Stratified sampling

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation (stratum) independently. Stratification is the process of dividing members of the population into homogeneous subgroups before sampling. The strata should define a partition of the population.

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