Promptly get sections as slim or thick as your software calls for, devoid of stressing about dropping or distorting precious tissue samples.
Our convert-critical SmartBatch+ procedure brings together electrophoretic tissue clearing and immunolabeling into one high-throughput gadget.
Request a quote or demo Uniformly area big tissues & sample arrays Megatome is the sole microtome that may segment samples as huge as intact nonhuman primate and human organs, making it invaluable for fields such as neuropathology.
Functioning the CLI directly from a Gradle undertaking isn't at this time supported. A distribution must be designed by using gradlew :j2d-cli:distZip to create a zip file that contains every thing necessary to run.
SE uses a rotational electrical subject to disperse extremely electromobile molecules (for example antibodies or surfactant micelles) all over a porous sample without harmful electrically billed buildings within the tissue. This enables 2-four day clearing of intact organs,
Our preformulated EasyIndex Answer raises and homogenize the refractive index of delipidated tissue samples, rendering them entirely clear. This allows light-weight penetration into your sample and ensures the acquisition of higher-resolution, in-target picture knowledge.
Megatome is actually a novel microtome that enables for prime-precision sectioning of a variety of tissue samples – from organoids, to arrays of animal organs, to intact human Mind hemispheres – with nominal tissue injury and information decline.
It’s time and energy to improve your microtome to Megatome. With correct substantial-frequency slicing for an unmatched selection of sample dimensions and types – from organoids and tumors to expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for varied apps.
The SmartSPIM light sheet microscope delivers unparalleled resolution and acquisition speed all over intact tissue volumes, although its modular structure lets megatomi.com you upgrade and personalize individual parts.
Docset creation involves at minimum two possibilities: the name on the docset and The situation on the Javadoc data files to include from the docset.
This will likely make a docset named Sample in the current Listing. Docset generation could be tailored with optional arguments:
Defend avoids the variability of hydrogel embedding and the knowledge decline from PFA preservation, guarding specimens for a number of rounds of processing.
--displayName: Will set the name as proven in Sprint. This is handy in case you make a docset with identify SampleProject but Show title Sample Job in its place. This setting will default to the value of --title if omitted.
This plugin applies the java plugin to your challenge It is run beneath. Because of this inside a multi-module task, a top rated amount endeavor named javadoc cannot be designed to combination the