Immediately attain sections as thin or thick as your application necessitates, without stressing about losing or distorting worthwhile tissue samples.
Our turn-important SmartBatch+ program brings together electrophoretic tissue clearing and immunolabeling into just one significant-throughput machine.
Ask for a quote or demo Uniformly area significant tissues & sample arrays Megatome is the sole microtome which can section samples as large as intact nonhuman primate and human organs, rendering it priceless for fields for example neuropathology.
Operating the CLI directly from a Gradle task isn't presently supported. A distribution has to be designed by using gradlew :j2d-cli:distZip to make a zip file that contains every little thing needed to run.
SE uses a rotational electric industry to disperse really electromobile molecules (for instance antibodies or surfactant micelles) in the course of a porous sample with no harmful electrically charged buildings throughout the tissue. This allows 2-four working day clearing of intact organs,
Our preformulated EasyIndex Resolution raises and homogenize the refractive index of delipidated tissue samples, rendering them completely clear. This permits light penetration into your sample and makes certain the acquisition of substantial-resolution, in-target image details.
Megatome can be a novel microtome that permits for top-precision sectioning of a wide range of tissue samples – from organoids, to arrays of animal organs, to intact human Mind hemispheres – with negligible tissue hurt and information decline.
It’s time to up grade your microtome to Megatome. With correct superior-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.
Fully delipidate complete 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 amount two solutions: the title of your docset and the location with the Javadoc files to incorporate during the docset.
This can make a docset named Sample in the current directory. Docset development is often personalized with optional arguments:
Defend avoids the variability of hydrogel embedding and the information decline from PFA preservation, safeguarding specimens for multiple rounds megatomi.com of processing.
--displayName: Will established the name as demonstrated in Sprint. This is often handy should you develop a docset with identify SampleProject but display name Sample Task as a substitute. This setting will default to the value of --title if omitted.
Our novel Defend tissue preservation procedure varieties intramolecular bonds employing polyfunctional, flexible epoxides to stabilize tissue architecture and safeguard the sample’s endogenous fluorescence, protein antigenicity and nucleic acids.