New Step by Step Map For megatomi.com
New Step by Step Map For megatomi.com
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Our new Apparent+ tissue clearing method is the sole approach that delipidates samples without transform in morphology and with nominal influence on structural integrity.
Our convert-critical SmartBatch+ procedure brings together electrophoretic tissue clearing and immunolabeling into a person high-throughput unit.
Request a quote or demo Uniformly section big tissues & sample arrays Megatome is the sole microtome that could part samples as massive as intact nonhuman primate and human organs, rendering it a must have for fields for instance neuropathology.
Managing the CLI directly from a Gradle task is not currently 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 (such as antibodies or surfactant micelles) through a porous sample with no harmful electrically charged structures within 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-concentration graphic facts.
Megatome is actually a novel microtome that allows for top-precision sectioning of an array of tissue samples – from organoids, to arrays of animal organs, to intact human brain hemispheres – with minimal tissue damage and data loss.
It’s time to improve your microtome to Megatome. With accurate high-frequency slicing for an unmatched number of sample measurements and kinds – from organoids and tumors to expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for numerous programs.
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 situation of the Javadoc documents to incorporate inside the docset.
This will likely make a docset named Sample in the current Listing. Docset generation may be tailored with optional arguments:
Defend avoids the variability of hydrogel embedding and the data loss from PFA preservation, safeguarding specimens for various rounds of processing.
--displayName: Will set the title as proven in Sprint. This is handy for those who produce a docset with title SampleProject but Display screen identify Sample Challenge rather. This placing will default to the worth of --identify if omitted.
Our novel SHIELD tissue preservation approach varieties intramolecular bonds applying polyfunctional, megatomi.com adaptable epoxides to stabilize tissue architecture and safeguard the sample’s endogenous fluorescence, protein antigenicity and nucleic acids.