Rapidly attain sections as skinny or thick as your software calls for, without having worrying about losing or distorting valuable tissue samples.
Our turn-important SmartBatch+ technique brings together electrophoretic tissue clearing and immunolabeling into one superior-throughput device.
Request a quote or demo Uniformly segment massive tissues & sample arrays Megatome is the one microtome which will part samples as large as intact nonhuman primate and human organs, which makes it priceless for fields for instance neuropathology.
Functioning the CLI straight from a Gradle activity is just not at present supported. A distribution should be produced via gradlew :j2d-cli:distZip to produce a zip file containing anything necessary to run.
Clone the undertaking or seize the latest launch. Running the utility will differ a bit determined by how you retrieve the job.
undertaking to make an aggregated Javadoc. In this occasion, javadocTask must be set to allJavadoc to make certain the right documentation is crafted ahead of creating the docset.
Megatome is often a novel microtome that permits for high-precision sectioning of a wide array of tissue samples – from organoids, to arrays of animal organs, to intact human brain hemispheres – with negligible tissue injury and information reduction.
It’s time for you to upgrade your microtome to Megatome. With precise higher-frequency slicing for an unmatched choice of sample sizes and kinds – from organoids and tumors to expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for numerous apps.
Absolutely delipidate entire mouse brains or comparably sized samples in only one working day with SmartBatch+, or in a single week with our passive clearing package.
Docset creation involves at minimum amount two possibilities: the title in the docset and The situation in the Javadoc data files to include during the megatomi.com docset.
This could generate a feed directory during the javadoc2dash.outputLocation directory. This directory will consist of an XML file describing the feed
SHIELD avoids the variability of hydrogel embedding and the data reduction from PFA preservation, guarding specimens for various rounds of processing.
--displayName: Will established the name as proven in Sprint. This is handy in case you make a docset with identify SampleProject but Show title Sample Job instead. This setting will default to the value of --title if omitted.
Our novel Defend tissue preservation procedure types intramolecular bonds applying polyfunctional, versatile epoxides to stabilize tissue architecture and safeguard the sample’s endogenous fluorescence, protein antigenicity and nucleic acids.