Speedily receive sections as thin or thick as your application involves, without worrying about dropping or distorting precious tissue samples.
Megatome is often a vibrating microtome meant to section a broad array of samples, from organoids and biopsy samples to expanded rodent brains and intact human organs. With substantial blade vibrating frequency and minimized blade deflection, Megatome allows significant-throughput tissue sectioning with uniform surface profile, along with small tissue harm and information loss.
Antibodies may possibly just take months to diffuse via just a few millimeters of tissue, by using a steep labeling gradient from floor to Main.
Managing the CLI straight from a Gradle process is just not at the moment supported. A distribution need to be designed through gradlew :j2d-cli:distZip to make a zip file containing every little thing needed to run.
Clone the undertaking or grab the most recent release. Running the utility will differ a tad based on how you retrieve the challenge.
task to make an aggregated Javadoc. In this occasion, javadocTask must be set to megatomi.com allJavadoc to make sure that the proper documentation is designed just before creating the docset.
Megatome is a novel microtome which allows for prime-precision sectioning of a wide range of tissue samples – from organoids, to arrays of animal organs, to intact human Mind hemispheres – with minimum tissue damage and data loss.
It’s time and energy to upgrade your microtome to Megatome. With precise high-frequency slicing for an unmatched choice of sample dimensions and types – 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 day with SmartBatch+, or in a single week with our passive clearing package.
Docset creation calls for at minimum two possibilities: the name on the docset and the location in the Javadoc data files to include inside the docset.
This may develop a docset named Sample in The existing directory. Docset development can be personalized with optional arguments:
SHIELD avoids the variability of hydrogel embedding and the knowledge decline from PFA preservation, protecting specimens for several rounds of processing.
--displayName: Will set the identify as shown in Dash. That is handy in case you make a docset with name SampleProject but Exhibit title Sample Challenge rather. This environment will default to the worth of --identify if omitted.
Our novel Defend tissue preservation strategy sorts intramolecular bonds using polyfunctional, flexible epoxides to stabilize tissue architecture and safeguard the sample’s endogenous fluorescence, protein antigenicity and nucleic acids.