Speedily obtain sections as slim or thick as your application demands, without stressing about shedding or distorting useful tissue samples.
Our change-essential SmartBatch+ program brings together electrophoretic tissue clearing and immunolabeling into just one superior-throughput device.
Request a quote or demo Uniformly part significant tissues & sample arrays Megatome is the only real microtome that can section samples as large as intact nonhuman primate and human organs, making it invaluable for fields like neuropathology.
Running the CLI directly from a Gradle task is not really now supported. A distribution needs to be established by using gradlew :j2d-cli:distZip to produce a zip file that contains anything necessary to run.
SE makes use of a rotational electric field to disperse highly electromobile molecules (which include antibodies or surfactant micelles) all through a porous sample without damaging electrically billed buildings inside the tissue. This allows two-four day clearing of intact organs,
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 guarantees the acquisition of high-resolution, in-emphasis picture information.
Megatome is actually a novel microtome that 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 information reduction.
It’s time to update your microtome to Megatome. With accurate significant-frequency slicing for an unmatched array of sample dimensions and types – from organoids and tumors to megatomi.com expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for varied programs.
The SmartSPIM light-weight sheet microscope supplies unparalleled resolution and acquisition speed through intact tissue volumes, whilst its modular style and design enables you to up grade and customize particular person elements.
Docset creation requires at bare minimum two options: the title of your docset and The placement of your Javadoc information to incorporate within the docset.
This tends to produce a docset named Sample in The existing directory. Docset development is often tailored with optional arguments:
Defend avoids the variability of hydrogel embedding and the information decline from PFA preservation, guarding specimens for a number of rounds of processing.
--displayName: Will set the title as demonstrated in Sprint. This really is useful when you create a docset with name SampleProject but Screen identify Sample Challenge rather. This environment will default to the worth of --identify if omitted.
This plugin applies the java plugin to the venture It really is operate underneath. Therefore in a multi-module venture, a best degree process named javadoc can not be made to combination the