Speedily get hold of sections as thin or thick as your application calls for, without the need of worrying about dropping or distorting precious tissue samples.
Megatome can be a vibrating microtome made to segment a broad variety 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 permits high-throughput tissue sectioning with uniform surface profile, together with negligible tissue damage and information loss.
Request a estimate or demo Uniformly portion huge tissues & sample arrays Megatome is the one microtome that could part samples as substantial as intact nonhuman primate and human organs, making it priceless for fields for example neuropathology.
Working the CLI directly from a Gradle job isn't currently supported. A distribution must be created by using gradlew :j2d-cli:distZip to produce a zip file that contains every little thing needed to run.
Clone the task or get the most recent release. Functioning the utility will range somewhat based upon the way you retrieve the task.
Our preformulated EasyIndex Remedy raises and homogenize the refractive index of delipidated tissue samples, rendering them completely transparent. This allows light penetration into your sample and makes certain the acquisition of large-resolution, in-target picture info.
Megatome is really 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 destruction and data loss.
It’s time for you to megatomi.com enhance your microtome to Megatome. With correct high-frequency slicing for an unmatched variety of sample sizes and kinds – from organoids and tumors to expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for numerous apps.
Thoroughly delipidate full mouse brains or comparably sized samples in just one working day with SmartBatch+, or in one 7 days with our passive clearing kit.
Docset generation demands at least two options: the title in the docset and the location with the Javadoc files to incorporate during the docset.
This could create a docset named Sample in The present Listing. Docset creation might be custom made with optional arguments:
Protect avoids the variability of hydrogel embedding and the information loss from PFA preservation, shielding specimens for various rounds of processing.
--displayName: Will established the identify as shown in Dash. That is helpful for those who make a docset with title SampleProject but display name Sample Task in its place. This setting will default to the value of --title if omitted.
This plugin applies the java plugin towards the undertaking It can be operate underneath. Consequently inside a multi-module task, a leading degree endeavor named javadoc can't be established to mixture the