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German, Finnish
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708 changes: 708 additions & 0 deletions locale/de/LC_MESSAGES/01_Sample_preparation.po

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# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023
# This file is distributed under the same license as the Python package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: Python \n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-05-19 07:07-0400\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: de\n"
"Language-Team: de <[email protected]>\n"
"Plural-Forms: nplurals=2; plural=(n != 1);\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.12.1\n"

#: ../../Glossary.md:1
msgid "Glossary"
msgstr ""

#: ../../Glossary.md
msgid "Blocking"
msgstr ""

#: ../../Glossary.md:5
msgid ""
"During the immunostaining procedure, it is important to minimize "
"nonspecific binding of the primary or secondary antibodies. In most "
"cases, this is achieved by blocking, which typically involves adding "
"substances such as normal sera, gelatin, or albumin before immunostaining"
" in order to \"occupy\" all the non-specific binding sites in the sample."
msgstr ""

#: ../../Glossary.md:3
msgid "Deconvolution"
msgstr ""

#: ../../Glossary.md:8
msgid ""
"The process of computationally removing blur from microscopy images by "
"using the known optical properties of the light path to \"reassign\" "
"pixel intensity away from where it hit the camera and back onto the "
"structure that emitted the light."
msgstr ""

#: ../../Glossary.md:6
msgid "Ex-Vivo imaging"
msgstr ""

#: ../../Glossary.md:11
#, python-format
msgid ""
"Refers to imaging performed on live animal tissue in an external "
"controllable environment (e.g., tissue explant on a petri dish). It "
"enables high-resolution imaging of live tissue that may be otherwise "
"inaccessible within the animal. The tissue is maintained alive on the "
"imaging system through perfusion of oxygenated (95% oxygen and 5% CO2), "
"temperature-controlled media using peristaltic pumps and microfluidics."
msgstr ""

#: ../../Glossary.md:9
msgid "Fiji"
msgstr ""

#: ../../Glossary.md:14
msgid ""
"[Fiji](https://imagej.net/software/fiji/) Is Just ImageJ. ImageJ2 plus a "
"lot of common plugins."
msgstr ""

#: ../../Glossary.md:12
msgid "Fixation"
msgstr ""

#: ../../Glossary.md:17
msgid ""
"Fixation of a specimen refers to the stabilization of the "
"cellular/molecular components within the sample while at the same time "
"stopping any biological function in that sample. The fixative used (e.g.,"
" paraformaldehyde, glutaraldehyde, methanol), concentration and "
"conditions (e.g., buffer, temperature) determine the extent of "
"preservation of the cellular and/or molecular structures within a sample,"
" and needs to be optimized depending on the sample or structure that is "
"being imaged."
msgstr ""

#: ../../Glossary.md:15
msgid "Image processing"
msgstr ""

#: ../../Glossary.md:20
msgid ""
"Is an operation that can be performed on an image, resulting in another "
"image. Image processing operations can be simple (e.g. resizing or "
"rotating) or more advanced (e.g. enhancing particular features of an "
"image like circles or lines)."
msgstr ""

#: ../../Glossary.md:18
msgid "Immersion media"
msgstr ""

#: ../../Glossary.md:23
msgid ""
"The immersion media is the medium that fills the gap between your "
"objective lens and the glass coverslip or sample. It impacts the "
"numerical aperture of the objective lens {math}`NA=RI * sin(θ)`, thus "
"impacting lateral and axial resolution. It is critical to match the RI of"
" the immersion media with that of the mounting media to minimize "
"aberrations and improve image quality. Immersion media can be air, water,"
" silicone oil, glycerol or oil."
msgstr ""

#: ../../Glossary.md:21
msgid "Immunolabeling"
msgstr ""

#: ../../Glossary.md:26
msgid ""
"Immunolabeling is one of the most common labeling techniques for fixed "
"samples. You can use fluorescently conjugated primary antibodies to "
"detect the protein of interest or a two-step labeling with a primary "
"antibody and a fluorescently conjugated secondary antibody. Primary-"
"secondary labeling tends to result in signal amplification. The main "
"issue with immunolabeling is the size of the antibodies, which require "
"extensive permeabilization. Another good option is to use nano-bodies, "
"which only have the heavy-chain and are significantly smaller than "
"regular antibodies."
msgstr ""

#: ../../Glossary.md:24
msgid "Intravital imaging"
msgstr ""

#: ../../Glossary.md:29
msgid ""
"It refers to the imaging of cellular structures or biological processes "
"inside a live animal in real time, without extracting the organs or "
"fixing the sample. In general, it requires specific instrumentation or "
"modalities with improved light penetration, such as multiphoton "
"microscopy and is limited to the ability to access the specific organ, "
"often through optical windows. Intravital imaging is overseen by "
"bioethical committees and needs to be approved by IACUC and/or other "
"institutional committees."
msgstr ""

#: ../../Glossary.md:27
msgid "Mounting media"
msgstr ""

#: ../../Glossary.md:32
msgid ""
"Is the solution in which your specimen is placed in (mounted). Its "
"purpose is to preserve the sample, including the fluorophores in it, and"
" enhance the imaging quality during acquisition, by buffering the pH, "
"matching the refractive index throughout the sample (ideally matching it "
"to that of glass) and minimizing photobleaching (depending on the "
"medium). Mounting media prevents the sample from drying out allowing "
"long-term storage."
msgstr ""

#: ../../Glossary.md:30
msgid "Object detection"
msgstr ""

#: ../../Glossary.md:35
msgid ""
"Is the image processing technique to detect objects within an image. It "
"would not give you a mask of the objects but it could give you a bounding"
" box, or and x,y position."
msgstr ""

#: ../../Glossary.md:33
msgid "Oxygen scavengers"
msgstr ""

#: ../../Glossary.md:38
msgid ""
"Oxygen tends to induce photobleaching of organic dyes and other "
"fluorophores. Addition of oxygen scavengers to the imaging media such as "
"glucose oxidase or pyranose 2-oxidase can significantly reduce "
"photobleaching of the fluorophores present in the sample. It is important"
" to understand that the use of oxygen scavengers may affect live cell "
"imaging, as these scavengers can affect the ATP and oxygen levels within "
"the sample, compromising its health and therefore biological function."
msgstr ""

#: ../../Glossary.md:36
msgid "Permeabilization"
msgstr ""

#: ../../Glossary.md:41
msgid ""
"In order for the antibodies used during immunostaining or other "
"fluorophores to penetrate and bind to their antigen within a cell or "
"tissue, the membrane integrity (holes) needs to be challenged with a mild"
" detergent. The permeabilization step needs to be carefully optimized "
"depending on the antigen of interest, as it can result in a loss of "
"cytoplasm or a degradation of the signal."
msgstr ""

#: ../../Glossary.md:39
msgid "Refractive index"
msgstr ""

#: ../../Glossary.md:44
msgid ""
"It's a measure of how light travels through a specific medium. It is an "
"important value when calculating the numerical aperture of an objective, "
"Ideally, a mismatch in refractive index between the sample (mounting "
"medium), the coverslip and immersion media should be minimized in order "
"to enhance the image quality. [See an interactive demo of refactive index"
" at MicroscopyU](https://www.microscopyu.com/microscopy-basics"
"/refractive-index-index-of-refraction)"
msgstr ""

#: ../../Glossary.md:42
msgid "ROIs"
msgstr ""

#: ../../Glossary.md:47
msgid ""
"Regions Of Interest. Pixels in your image that you care about (e.g., a "
"region in tissue, a cell, a tumor, etc.)"
msgstr ""

#: ../../Glossary.md:45
msgid "Segmentation"
msgstr ""

#: ../../Glossary.md:50
msgid ""
"Method of dividing an image into multiple parts or regions. There are "
"three different types of segmentation."
msgstr ""

#: ../../Glossary.md:51
msgid ""
"Semantic segmentation, where all parts of an image are part of a class, "
"common in cell biology will be detecting cells and background on an "
"image."
msgstr ""

#: ../../Glossary.md:52
msgid ""
"Instance segmentation, the segmentation is object based, not just "
"detecting were the cells are but diving each cell as a separate object."
msgstr ""

#: ../../Glossary.md:53
msgid ""
"Panoptic Segmentation, it can be defined as a combination of the prior "
"two, because it identifies the object but also classifies them. An "
"example in biology might be detecting all the cells on an image and "
"classifying them as dividing vs not."
msgstr ""

#: ../../Glossary.md:51
msgid "Thresholding"
msgstr ""

#: ../../Glossary.md:56
msgid ""
"The easiest form of image segmentation, it divides the image into two "
"part the background and the foreground (or signal). It creates a binary "
"image where usually the background pixels would be change to a 0 value "
"and the foreground pixels values would be 1."
msgstr ""

#: ../../Glossary.md:54
msgid "Tissue clearing"
msgstr ""

#: ../../Glossary.md:59
msgid ""
"Fluorescence imaging of the whole thickness of a piece of tissue is very "
"challenging due to light absorption and scattering induced by the "
"inhomogeneities in refractive indexes within the tissue itself, resulting"
" in poor light penetration. Additionally, light coming from different "
"parts of the sample contribute to fluorescence blur, drastically reducing"
" contrast and resolution in any given plane. As a result, researchers "
"tend to use tissue sectioning techniques to extract information about "
"cellular components and their spatial distribution or relationships from "
"a thin two-dimensional volume. However, most components in any complex "
"biological system such as an organ are not contained within this two-"
"dimensional volume, and therefore, this approach compromises the "
"understanding of the spatial relationships among cellular components. "
"Tissue clearing focused on reducing the inhomogeneities in the tissue by "
"equilibrating the refractive index throughout the sample. This allows "
"light to pass through the tissue and therefore enables high resolution, "
"volumetric imaging of whole organs and tissues using conventional "
"microscopy techniques such as confocal microscopy without the need to "
"physically section the sample."
msgstr ""

#: ../../Glossary.md:57
msgid "Tissue sectioning"
msgstr ""

#: ../../Glossary.md:62
msgid ""
"Light penetration and fluorescence imaging is negatively impacted by "
"light scattering within a thick specimen. This scattering is due to the "
"different refractive indexes present within a tissue. To facilitate "
"imaging of tissues, researchers often cut thick tissues into slices of "
"different thicknesses. This process is called tissue sectioning. In most "
"cases the samples are fixed and embedded in paraffin or frozen in tissue "
"freezing medium and later cut into thin slices by a machine like a "
"cryostat, microtome, or vibratome and sections collected into a tube or "
"onto a slide."
msgstr ""

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