Rapidly acquire sections as slender or thick as your software requires, without stressing about dropping or distorting worthwhile tissue samples.
Megatome is a vibrating microtome meant to portion a broad selection of samples, from organoids and biopsy samples to expanded rodent brains and intact human organs. With large blade vibrating frequency and minimized blade deflection, Megatome permits significant-throughput tissue sectioning with uniform floor profile, and also negligible tissue problems and data loss.
Request a quote or demo Uniformly section massive tissues & sample arrays Megatome is the one microtome which will portion samples as significant as intact nonhuman primate and human organs, rendering it a must have for fields which include neuropathology.
Running the CLI straight from a Gradle endeavor is not really now supported. A distribution need to be made by means of gradlew :j2d-cli:distZip to create a zip file containing every thing needed to operate.
Clone the task or get the latest release. Jogging the utility will range somewhat based on the way you retrieve the challenge.
Our preformulated EasyIndex Option raises and homogenize the refractive index of delipidated tissue samples, rendering them entirely transparent. This enables light-weight penetration in the sample and assures the acquisition of superior-resolution, in-focus picture knowledge.
Megatome can be 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 Mind hemispheres – with nominal tissue damage and knowledge loss.
eFLASH is usually a quick tissue labeling technique that enables for uniform entire-organ staining in twenty rounds of labeling.
The SmartSPIM mild sheet megatomi.com microscope presents unparalleled resolution and acquisition pace all over intact tissue volumes, although its modular structure lets you upgrade and personalize individual parts.
Docset creation calls for at minimum two alternatives: the identify with the docset and The situation in the Javadoc information to incorporate in the docset.
This tends to create a docset named Sample in The present Listing. Docset creation might be custom made with optional arguments:
Defend avoids the variability of hydrogel embedding and the data loss from PFA preservation, defending specimens for many rounds of processing.
--displayName: Will set the title as revealed 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 --name if omitted.
Our novel Defend tissue preservation procedure sorts intramolecular bonds using polyfunctional, flexible epoxides to stabilize tissue architecture and safeguard the sample’s endogenous fluorescence, protein antigenicity and nucleic acids.