Speedily obtain sections as slender or thick as your software involves, with no worrying about losing or distorting important tissue samples.
Megatome can be a vibrating microtome created to section a wide selection of samples, from organoids and biopsy samples to expanded rodent brains and intact human organs. With significant blade vibrating frequency and minimized blade deflection, Megatome allows high-throughput tissue sectioning with uniform floor profile, along with negligible tissue problems and information decline.
Request a quotation or demo Uniformly segment substantial tissues & sample arrays Megatome is the only microtome that could segment samples as significant as intact nonhuman primate and human organs, making it priceless for fields such as neuropathology.
Working the CLI directly from a Gradle endeavor will not be at present supported. A distribution must be made through gradlew :j2d-cli:distZip to create a zip file made up of all the things needed to operate.
Clone the undertaking or get the latest release. Managing the utility will change a little determined by how you retrieve the job.
undertaking to create an aggregated Javadoc. In this particular occasion, javadocTask ought to be established to allJavadoc to ensure that the correct documentation is created before developing the docset.
You ought to only should established the javadocTask house in the event the task you use to generate Javadoc is non-conventional. One example is, there may be a task referred to as allJavadoc inside a multi-module
It’s the perfect time to update your microtome to Megatome. With correct large-frequency slicing for an unmatched variety of sample dimensions and types – from organoids and tumors to expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for varied purposes.
Fully delipidate whole mouse brains or comparably sized samples in just one day with SmartBatch+, or in one week with our passive clearing kit.
Docset creation requires at minimum two choices: the name of megatomi.com your docset and the location on the Javadoc documents to incorporate from the docset.
This could generate a feed directory within the javadoc2dash.outputLocation Listing. This Listing will have an XML file describing the feed
Defend avoids the variability of hydrogel embedding and the knowledge reduction from PFA preservation, safeguarding specimens for a number of rounds of processing.
Leverage the Apparent+ tissue clearing system, together with eFLASH and patented stochastic electrotransport systems, to promptly obvious and label full organs. Crucial highlights and attributes involve:
This plugin applies the java plugin for the project It is run underneath. Because of this inside a multi-module project, a best amount job named javadoc cannot be designed to mixture the