Our flip-critical SmartBatch+ system brings together electrophoretic tissue clearing and immunolabeling into a single higher-throughput product.
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Swiftly receive sections as slender or thick as your application demands, without having stressing about getting rid of or distorting precious tissue samples.
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Megatome is suitable for accuracy: the blade vibrates at a greater frequency and larger amplitude vary than other microtomes, and contains a exclusive deflection Handle mechanism.
Note which i’ve inlined the team development during the FOREACH assertion. It ought to be apparent that we’re grouping guides by author. This assertion also introduces the FLATTEN operation. We understand that the GROUP Procedure results in a collection the place each essential corresponds to an index of values; FLATTEN “flattens” this checklist to generate entries for each list benefit.
Precision sectioning of human and non-human primate brains with Megatome Premium Right here, we reveal how the Megatome Premium can easily aid this process by way of total-mount and non-damaging tissue sectioning.
4 moment examine Comply with this easy example to get started analyzing real-entire world info with Hive and Hadoop. iOS6 table sights and accessory segues
It’s the perfect time to improve your microtome to Megatome. With exact superior-frequency slicing for an unmatched selection of sample dimensions and types – from organoids and tumors to expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for varied apps.
Protect avoids the variability of hydrogel embedding and the information reduction from PFA preservation, protecting specimens for megatomi.com several rounds of processing.
Functioning the CLI straight from a Gradle task is not presently supported. A distribution should be developed via gradlew :j2d-cli:distZip to make a zip file that contains anything required to operate.
below one minute browse Obtaining the right indexPath for just a desk cell’s accent action segue differs than for your cell choice segue. Twitter
Pig is often a System that works with significant knowledge sets for the purpose of Assessment. The Pig dialect is termed Pig Latin, and also the Pig Latin instructions get compiled into MapReduce Employment that can be run on a suitable System, like Hadoop.
Measures three and 4 may well appear Peculiar, but a few of the subject content may possibly contain semicolons. In this instance, They are going to be converted to $$$, but they won't match the "$$$" pattern, and won't be transformed back into semicolons and mess up the import course of action.
This is a simple starting out illustration that’s centered upon “Pig for novices”, with what I sense is a little more useful details.