Our new Clear+ tissue clearing method is the sole strategy that delipidates samples without having change in morphology and with minimal impact on structural integrity.
Megatome can be a vibrating microtome built to portion a wide 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, in addition to minimum tissue injury and data reduction.
Antibodies may well acquire months to diffuse by way of just a few millimeters of tissue, by using a steep labeling gradient from floor to Main.
Operating the CLI directly from a Gradle task is not now supported. A distribution needs to be established through gradlew :j2d-cli:distZip to make a zip file that contains almost everything necessary to run.
Clone the project or seize the most up-to-date launch. Working the utility will differ a little according to how you retrieve the venture.
Our preformulated EasyIndex solution raises and homogenize the refractive index of delipidated tissue samples, rendering them absolutely clear. This permits light penetration into your sample and makes certain the acquisition of substantial-resolution, in-concentrate image details.
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 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.
Thoroughly delipidate entire mouse brains or comparably sized samples in only one day with SmartBatch+, or in a single week with our passive clearing kit.
Docset generation needs at minimum amount two alternatives: the identify from the docset and The placement of the Javadoc documents to incorporate inside the docset.
This can make a docset named Sample in the current Listing. Docset generation may be custom-made with optional arguments:
SHIELD 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 title as demonstrated in Sprint. This really is useful when you make a docset megatomi.com with name SampleProject but Show title Sample Challenge instead. This environment will default to the worth of --identify if omitted.
Our novel SHIELD tissue preservation approach kinds intramolecular bonds working with polyfunctional, adaptable epoxides to stabilize tissue architecture and safeguard the sample’s endogenous fluorescence, protein antigenicity and nucleic acids.