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Rapidly get hold of sections as thin or thick as your application needs, without having stressing about getting rid of or distorting important tissue samples.

Our flip-important SmartBatch+ program combines electrophoretic tissue clearing and immunolabeling into one particular substantial-throughput product.

Ask for a quotation or demo Uniformly part significant tissues & sample arrays Megatome is the only real microtome which can portion samples as large as intact nonhuman primate and human organs, making it invaluable for fields such as 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 make a zip file that contains every little thing needed to run.

SE makes use of a rotational electric field to disperse highly electromobile molecules (which include antibodies or surfactant micelles) all over a porous sample devoid of detrimental electrically billed constructions within the tissue. This allows two-four day clearing of intact organs,

Our preformulated EasyIndex Answer raises and homogenize the refractive index of delipidated tissue samples, rendering them absolutely transparent. This allows gentle penetration to the sample and guarantees the acquisition of high-resolution, in-aim impression info.

Megatome is actually a novel microtome that allows for prime-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.

It’s time for you to enhance your microtome to Megatome. With precise high-frequency slicing for an unmatched choice of sample sizes and kinds – from organoids and tumors to expanded tissues, sample arrays, and intact primate organs – Megatome is optimized for numerous purposes.

The SmartSPIM mild sheet microscope presents unparalleled resolution and acquisition pace all through intact tissue volumes, although its modular design and style allows you to update and customize specific components.

Docset development requires at least two options: the title of the docset and The placement of your Javadoc information to incorporate within the docset.

This will create a docset named Sample in the current directory. Docset generation can be custom-made with optional arguments:

Possibly down load a release or produce a distribution zip as outlined higher than. Unzip the archive to a wanted site.

--displayName: Will established the name as proven in Sprint. This is handy in case you make a docset with name SampleProject but Show title Sample Job in its place. This placing will default to the value of --name if omitted.

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