Promptly get hold of sections as skinny or thick as your application calls for, without the need of worrying about dropping or distorting worthwhile tissue samples.
Our turn-key SmartBatch+ method combines electrophoretic tissue clearing and immunolabeling into a single substantial-throughput system.
Ask for a quotation or demo Uniformly portion large tissues & sample arrays Megatome is the only microtome which can segment samples as big as intact nonhuman primate and human organs, making it invaluable for fields including neuropathology.
Operating the CLI directly from a Gradle activity isn't presently supported. A distribution should be created via gradlew :j2d-cli:distZip to produce a zip file made up of all the things required to operate.
Clone the venture or seize the most up-to-date launch. Working the utility will differ a bit depending on the way you retrieve the task.
Our preformulated EasyIndex Resolution raises and homogenize the refractive index of delipidated tissue samples, rendering them completely transparent. This allows gentle penetration to the sample and ensures the acquisition of superior-resolution, in-concentration picture data.
You ought to only need to established the javadocTask house when the undertaking you employ to make Javadoc is non-conventional. By way of example, there may be a endeavor named allJavadoc inside a multi-module
It’s time and energy to upgrade your microtome to Megatome. With precise higher-frequency slicing for an unmatched choice of sample measurements and kinds – from organoids and tumors to expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for various applications.
Completely delipidate full mouse brains or comparably sized samples in just one working day with SmartBatch+, or in one 7 megatomi.com days with our passive clearing kit.
--icon: Specify an icon for use for the docset. Must be a 32x32 PNG, but this Software will not validate the file's information. No icon are going to be made use of if This is often omitted.
This tends to create a feed Listing in the javadoc2dash.outputLocation directory. This Listing will contain an XML file describing the feed
Either download a launch or make a distribution zip as outlined over. Unzip the archive into a ideal location.
--displayName: Will set the title as proven in Dash. That is useful if you produce a docset with name SampleProject but Screen identify Sample Project rather. This placing will default to the worth of --identify if omitted.
Our novel Defend tissue preservation procedure sorts intramolecular bonds using polyfunctional, flexible epoxides to stabilize tissue architecture and safeguard the sample’s endogenous fluorescence, protein antigenicity and nucleic acids.