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Cell Body

The cell body, also known as the soma, is the central part of a neuron that contains the nucleus and is responsible for the basic life functions of the cell.
It is the site of protein synthesis and energy production, and it receives and integrates signals from the dendrites and axon.
The cell body is essential for the proper functioning and maintenance of the neuron, and its study is crucial for understanding the underlying mechanisms of neurological processes and disorders.
PubCompare.ai can help streamline your cell body research by providing access to relevant literature, preprints, and patents, allowing you to compare findings with unparalled accuracy and idnetify the best protocols and products for your studies.

Most cited protocols related to «Cell Body»

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Publication 2016
Cell Body Neurons Strains
For each well, phase-contrast images of four random fields of DRG axons were obtained using a 20× objective lens and an inverted microscope (Eclipse TE 300; Nikon). The images were captured using a 20 ms exposure on a CCD camera (Cool SNAP ES; Nikon) with MetaMorph image analysis software (Molecular Devices). For computer-based image analysis, it is important that the axon tracts be well separated; we therefore randomly selected fields of axons that were 1.5–3 mm away from the edge of the neuronal cell body cluster. To obtain images with an uniform background intensity, the gray level of the images was adjusted using the auto level function of Adobe Photoshop.
To quantify the axonal degeneration, we measured the area occupied by axons (total axon area) and by degenerated axons at various times after injury. The phase-contrast images were binarized such that pixel intensity of regions corresponding to axons were converted to black and all other regions were converted to white. The total number of black pixels was then defined as the total axon area. Healthy intact axons show a continuous tract, whereas degenerated axons have a particulate structure due to axonal fragmentation or beading. To detect degenerated axons, we used the particle analyzer module of ImageJ and counted the area of the small fragments or particles (size = 20–10,000 pixels) derived from the degenerated axons. A degeneration index (DI) was calculated as the ratio of fragmented axon area over total axon area. The production of the binary images and the function of the particle analysis as well as the accuracy of the DI in detecting axonal degeneration were optimized using multiple images of intact versus degenerating axons obtained from a large number of experiments using our DRG in vitro axotomy system.
Publication 2009
Axon Cell Body Injuries Lens, Crystalline Medical Devices Microscopy Microscopy, Phase-Contrast Neurons

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Publication 2016
Animals Cell Body Cells Dendrites Pharmaceutical Preparations Rattus norvegicus Silicon Sleep Student

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Publication 2014
Animals Biological Assay Cell Body Lens, Crystalline Light Presynaptic Terminals Pulses zirconium oxide
A ramified cell is one that has a complicated network of processes that originate from the cell soma. A change in microglia ramification indicates a microglial response to an altered physiologic status, in this case induced by mFPI. ImageJ software (National Institute of Health, https://imagej.nih.gov/ij/34 (link)) and appropriate plugins (i.e. FFT bandpass filter, unsharp mask and close) were consistently used prior to converting all photomicrographs to binary and skeletonized images. In addition to creating skeletonized images, cell somas were manually counted for each photomicrograph. The Analyze Skeleton Plugin (developed by and maintained here: http://imagej.net/AnalyzeSkeleton31) was then applied to the skeleton image which tags skeletal features relevant to microglia ramification: slab voxels (orange, process length) and endpoints (blue). Figure 2 illustrates the workflow process to convert an entire original photomicrograph to a plugin tagged image (original, binary and skeleton); cropped images and an overlay of skeleton to original image is provided for detail and to illustrate that skeletons are representative of the original image. We summarized the number of process endpoints and length from the Analyze Skeleton plugin data output and normalized all data by the number of microglia cell somas in each image to calculate the number of microglia endpoints/cell and microglia process length/cell. In Table 1, we summarize skeleton analysis measures (endpoints and process length/cell) in terms of measure, unit, range, scale, and interpretation.

Skeleton analysis of microglia morphologies in Iba1 stained tissue. (a) The process to prepare photomicrographs for skeleton analysis. Original photomicrographs were subjected to a series of uniform ImageJ plugin protocols prior to conversion to binary images; binary images were then skeletonized. An overlay of a resulting skeletonized image (in green) and original photomicrograph shows the relationship between skeleton and photomicrograph. Cropped photomicrographs (below) show additional detail and all skeleton analysis was completed on full sized photomicrographs (Scale bar = 10 µm). (b) The skeletonized images are processed using the Analyze Skeleton plugin (maintained here: http://imagej.net/AnalyzeSkeleton) to identify and tag skeletonized processes as orange, endpoints as blue, and junctions as purple. The tagged data are then organized and data output summarized.

Summary of microglia morphology measures.

MeasureUnitRangeScaleSamplingInterpretation
Process length22 Summedµm/cellContinuousPhotomicro-graph6 photomicrographs/animalCell ramification
Process endpoints22 Summed#/cellContinuousPhotomicro-graph6 photomicrographs/animalCell ramification
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\begin{document}$$\mathrm{regression}\,\mathrm{slope}[\frac{In(N)}{In(\varepsilon )}]$$\end{document}
regressionslope[In(N)In(ε)]
DB1-2Individual cell24 cells/animalCell complexity
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\begin{document}$$\frac{{\rm{convex}}\,{\rm{hull}}\,{\rm{eclipse}}\,{\rm{longest}}\,{\rm{length}}}{{\rm{convex}}\,{\rm{hull}}\,{\rm{eclipse}}\,{\rm{longest}}\,{\rm{width}}}$$\end{document}
convexhulleclipselongestlengthconvexhulleclipselongestwidth
Ratio0-1Individual cell24 cells/animalCell shape
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\begin{document}$$\frac{\#\,\mathrm{of}\,\mathrm{pixels}\,\mathrm{within}\,\mathrm{cell}\,\mathrm{outline}}{\mathrm{area}\,\mathrm{of}\,\mathrm{convex}\,\mathrm{hull}}$$\end{document}
#ofpixelswithincelloutlineareaofconvexhull
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0-1Individual cell24 cells/animalCell Size
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Publication 2017
Cell Body Cells Microglia Photomicrography physiology Skeleton Tissues

Most recents protocols related to «Cell Body»

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It is expected that intravenous and other administration of pluripotent stem cells produced according to the methods described herein (or other published methods) one or more times can provide replacement cells to the body and that such administration may serve to extend the life or improve the health of the patient suffering age-related senescence.

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Patent 2024
Cell Body Cells Electroporation Patients Pluripotent Stem Cells
We measured intracellular pH in single cells by live-cell ratiometric imaging experiments using the fluorescent pH- sensitive BCECF dye48 (link). DRG cultures were incubated with 1 µM BCECF-AM (Life Technologies, Italy) for 20 min at room temperature in Tyrode standard solution (TS) of the following composition in mM: NaCl 154; KCl 4; CaCl2 2; MgCl2 1; 4-(2-hydroxyethyl)-1-piperazine ethane sulfonic acid (HEPES) 5; glucose 5.5; NaOH to pH 7.4. After washing in TS, cells were placed under a Leica DMI6000 epifluorescent microscope equipped with S Fluor × 40/1.3 objective and BCECF was alternatively excited at 490 nm and 450 nm (monochromator Polychrome IV, Till Photonics, Germany) while recording at emission wavelengths > 525 nm. Data was acquired every 3 s (Hamamatsu, Japan) with MetaFluor software (Molecular Devices, Sunny-vale, CA, USA). Image time series were analysed with ImageJ (Rasband W.S., NIH, Bethesda MD) and OriginPro 9.1 (OriginLab, USA) softwares to obtain the background subtracted ratio of the mean pixel intensity within a region of interest encompassing a neuronal cell body. The ratios were converted into the pHi value by the high K+/nigericin technique. At the end of the experiment we obtained for each neuron three calibration points at pH values of 5.5, 6.5 and 7.5 (Calibration Buffer Kit, Life Technologies) that in almost all cells were best fitted by a straight line, whose parameters were used to convert ratios to pH values.
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Publication 2023
2',7'-bis(carboxyethyl)-5(6)-carboxyfluorescein 2',7'-bis-(2-carboxyethyl)-5(6)-carboxyfluorescein acetoxymethyl ester Buffers Cell Body Cells ethane sulfonate Glucose HEPES Magnesium Chloride Medical Devices Microscopy Neurons Nigericin Piperazine Protoplasm Sodium Chloride
Adult mice expressing GCaMP3 (6–12 weeks, male and female) were anesthetized using ketamine (KETAVET; Zoetis; 100 mg/kg), xylazine (Rompun; Bayer; 15 mg/kg), and acepromazine (Elanco; 2.5 mg/kg). Depth of anesthesia was confirmed by pedal reflex and breathing rate. Animals were maintained at a constant body temperature of 37°C using a heated mat (VetTech). Lateral laminectomy was performed at spinal level L3–5. In brief, the skin was incised longitudinally, and the paravertebral muscles were cut to expose the vertebral column. Transverse and superior articular processes of the vertebrae were removed using OmniDrill 35 (WPI) and microdissection scissors. To obtain a clear image of the sensory neuron cell bodies in the ipsilateral dorsal root ganglion (DRG), the dura mater and the arachnoid membranes were carefully opened using microdissection forceps. Artificial spinal fluid (values are in mm: 120 NaCl, 3 KCl, 1.1 CaCl2, 10 glucose, 0.6 NaH2PO4, 0.8 MgSO4, and 18 NaHCO3, pH 7.4 with NaOH) was constantly perfused over the exposed DRG during the procedure to maintain tissue integrity. The animal was mounted onto a custom-made clamp attached to the vertebral column, rostral to the laminectomy. The trunk of the animal was slightly elevated to minimize interference caused by respiration. The DRG was isolated by coating with silicone elastomer.
Images were acquired using a Leica SP8 confocal microscope. A 10× dry, 0.4-N.A. objective with 2.2 mm working distanced was used, with image magnification of 0.75–3× optical zoom. GCaMP3 was excited using a 488 nm laser line (3–10% laser power). GCaMP was detected using a hybrid detector (60% gain). 512 × 512-pixel images were captured at a frame rate of 1.55 Hz, bidirectional scan speed of 800 Hz, and pixel dwell time of 2.44 μs.
Noxious and innocuous stimuli were applied to the left hindpaw, ipsilateral to the exposed DRG. For thermal stimuli, the ventral side of the paw was immersed with ice-water (nominally 0°C), acetone (100%) or water heated to 55°C using a Pasteur pipette. For delivery of precise temperature stimuli, a Peltier-controlled thermode (Medoc) was used. For mechanical stimuli, a pinch with serrated forceps was used. An interval of at least 30 s separated each stimulus application.
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Publication 2023
Acepromazine Acetone Adult Anesthesia Animals Arachnoid Maters Bicarbonate, Sodium Body Image Cell Body Cell Respiration Cells Cerebrospinal Fluid Dura Mater Females Foot Forceps Ganglia, Spinal Glucose Hybrids Ice Joints Ketamine Laminectomy Males Mice, House Microdissection Microscopy, Confocal Muscle Tissue Obstetric Delivery Radionuclide Imaging Reading Frames Reflex Respiratory Rate Rompun Sensory Receptor Cells Silicone Elastomers Skin Sodium Chloride Sulfate, Magnesium Tissue, Membrane Tissues Vertebra Vertebral Column Vision Xylazine
The optical fractionator method of stereology of the stereo-investigator software
(MBF Biosciences) was used to quantify nitrotyrosine, cleaved caspase 3, and
NeuN immuno-reactive cells in the hippocampal dentate gyrus region. For all
measurements, six sections were obtained to cover the entire impact region,
−1.60 mm to −6.3 mm from Bregma, corresponding to every 12 serial sections for
each brain. For the stereological quantitation, we used a grid spacing of 75  μm
× 75 μm in the x and y-axis and guard zones of 2 μm at the top and bottom of
each section where immuno-positive cell bodies were counted. The total number of
nitrotyrosine, cleaved caspase 3, and NeuN-positive cells in the volume of
interest were automatically determined and expressed as
cells/mm3.
Image J software (NIH) was used to measure immunoblot protein band signal
intensity, the internal length, and the central width of each endothelial
nucleus.
Publication 2023
3-nitrotyrosine Brain Caspase 3 Cell Body Cells Epistropheus Gyrus, Dentate Immunoblotting Proteins Vision
SH-SY5Y cells were seeded 24 h prior to differentiation in 24-well plate to a density of 1 × 103 cells per well. Cells were differentiated in B-27™ Plus neuronal culture system (Life Technologies) supplemented with 20 µM retinoic acid (Merck Life Science), 1% L-Glutamine (Gibco), and 1% penicillin/streptomycin (Gibco). Medium was refreshed every other day. Phase-contrast imaging was done on a Zeiss Axiovert 200 M microscope equipped with a Zeiss AxioCam MR3 camera and 20× phase contrast objective. Three images per well were captured at day 8 of differentiation. To extract the total area covered with neurites and soma in each image, we used a custom-developed ImageJ script to automatically segment both neurites and soma, using combinations of simple image operations that can i) remove noise (noise reduction filters), ii) separate fine from coarse structures (rolling ball algorithm or Fast Fourier Transform), iii) separate bright from dark regions (automatic intensity thresholding) and iv) exclude segmented regions based on size or shape (morphological operations). The resulting segmentation masks were used to calculate the ratio of skeletonized neurites per cell body area. In addition, we manually traced individual neurite structures. To this end, images were converted to 8-bit and analyzed with NeuronJ plugin in ImageJ, a commonly used tool for semiautomatic tracings and measurements of neurites67 (link). Any projection from SH-SY5Y cell body was considered a “primary neurite”, whereas projections branching from primary neurites were considered a “secondary neurite”. Three wells per genotype and three images per well were analyzed, and data from two experiments (repetition) was pooled, resulting in over 600 tracings in total. The overall distribution of primary and secondary neurites lengths was plotted. For each image, the fraction of secondary neurites (over the total) was also calculated. One-Way Anova was used for statistical analysis.
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Publication 2023
Carisoprodol Cell Body Cells Genotype Glutamine M-200 Microscopy Microscopy, Phase-Contrast Neurites neuro-oncological ventral antigen 2, human Neurons Penicillins Streptomycin Tretinoin

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More about "Cell Body"

The cell body, also known as the soma, is the central part of a neuron that contains the nucleus and is responsible for the basic life functions of the cell.
It is the site of protein synthesis and energy production, and it receives and integrates signals from the dendrites and axon.
The cell body is essential for the proper functioning and maintenance of the neuron, and its study is crucial for understanding the underlying mechanisms of neurological processes and disorders.
Researchers can utilize various tools and software to study the cell body in greater detail.
MATLAB, a powerful computational software, can be used for image processing and analysis of cell body morphology and connectivity.
Neurolucida, a specialized software for neuroanatomy research, provides advanced tools for tracing and reconstructing cell bodies and their intricate dendritic and axonal structures.
Cutting-edge imaging techniques, such as those offered by the LSM 710, LSM 780, LSM 510, and LSM 880 confocal microscopes from Zeiss, enable high-resolution visualization and analysis of cell bodies and their subcellular components.
The ZEN software, developed by Zeiss, offers a comprehensive suite of tools for image acquisition, processing, and analysis, further enhancing the study of cell bodies.
For staining and visualization of cell bodies, the FD Rapid GolgiStain Kit can be a valuable tool, allowing researchers to selectively label and observe the intricate details of the cell body and its dendritic arborization.
Additionally, the MetaMorph software provides a versatile platform for image analysis, enabling researchers to quantify and compare various morphological features of the cell body.
By leveraging these advanced tools and software, researchers can streamline their cell body research, enhance the accuracy and reproducibility of their findings, and gain deeper insights into the underlying mechanisms of neurological processes and disorders.
PubCompare.ai can further assist in this endeavor by providing access to relevant literature, preprints, and patents, allowing for a comprehensive and efficient exploration of the latest advancements in cell body research.