- published: 11 Jun 2017
- views: 70
dP = 100 mbar v = 1.5 - 2 mm/s canal width = 15 µm framerate = 15-30 fps
White Blood Cell Chases Bacteria in real life Edit: axxsmith informed me that it is from quote " It is a neutrophil chasing Staphylococcus aureus by David Rogers, Vanderbilt University http://www.rfreitas.com/Nano/DIAO/Slide64_files/slide0043.htm " All credit goes to him. More information regarding this video. http://www.biochemweb.org/neutrophil.shtml Sorry to say I did not make this video. I found it on a website a few years ago and downloaded it. I could not find it again afterword and could not find it on youtube so I posted it up. If anyone knows who made it ill be glad to post that up for credit.
Blood tests that fish for either tumour DNA or cancer cells in patient blood samples are showing great promise. This type of blood analysis is helping Cancer Research UK scientists and doctors better understand the biology of cancer from its earliest origins to when it spreads around the body. And it has the potential to offer a new way of monitoring how patients respond to treatment, as well as how drug resistant tumours may begin to emerge. Read more about how our scientists are developing these 'liquid biopsies' on our blog: http://po.st/BdImNS Follow Cancer Research UK: Facebook: http://po.st/CRUKFByt Twitter: http://po.st/CRUKTWyt Instagram: http://po.st/CRUKIGyt Google+: http://po.st/CRUKGPyt
With no reliable screening tests and few symptoms, ovarian cancer is among the hardest forms of cancer to diagnose. Research underway in San Diego analyzes blood from women with ovarian cancer to track tumor cells and better understand the spread of cancer.
http://www.biologycourses.co.uk The "Fast Track" blood analyser in the Leicester Royal Infirmary is made by Siemens and analyses millions of blood samples a year! Every sample coming in from the region, along with other patient samples, enters the pathology services building and is sorted depending on the analysis required. Samples are placed in pucks and whizz around the track as if on a huge model railway. Barcodes on each sample and a computer system controls which tests are done on every sample from simple blood cell counts to full biochemistry. This is an INTRODUCTION and first in a series of short videos. I just couldn't resist setting it to music. AND THANKS! Thanks to the brilliant staff and scientists at the Leicester Royal Infirmary. Thanks to Siemens who manufacture the mach...
Original cell video courtesy of Phasefocus (www.phasefocus.com), obtained using their VL21 label-free cell imaging and analysis system. The procedure above is completely automatic. http://www.lattash.co.uk/
http://www.celltracker.website/ CellTracker is an image processing program to perform automated and manual cell migration detection. The main goals of the software are: * automated image quality enhancement using background subtraction and alignment correction; * automated detection and tracking of cells; * manual tracking and editing cell paths; The major challenge what we addressed is to perform the above goals on phase contrast images. Nevertheless, the proposed program works on fluorescent images as well. The program is written in MatLab with a graphical user interface, requires the Image Processing Toolbox and MatLab 2007 or newer version. The output is stored in human readable table file (.csv) and contains the coordinates and time information of the identified cells. ...
AI startup Athelas utilizes deep learning to differentiate cell morphology and nucleation features, enabling the performance of multiple blood tests for a fraction of existing costs. Explore more about AI and Deep Learning: https://www.nvidia.com/en-us/deep-learning-ai/
This is a high-throughput segmentation and tracking of MTLn3 cancer cell line from high-content drug screening. Image stack captured from 96-well plate using time-lapsed microscopy imaging. Segmentation and tracking performed by customized image analysis algorithm.
We think of the human immune system – for good reason – as our indispensable ally, our first line of defense against all kinds of invaders, including ones that can kill us if left unchecked. Yet in certain circumstances, cancer cells can turn the tables and make an enemy of our ally. For the full story: http://bit.ly/2e6nO47 -- Produced by B.Stallard, CSHL Public Affairs
Link alla pagina del tutorial sul sito (con informazioni su EBOOK, download del video, versione testuale, risorse utilizzate, commenti e domande): http://www.francescomilanese.com/cg-3d/blender-3d/49-blender-2-6/663-tutorial-blender-3d-cycles-globuli-rossi-red-blood-cells-videotutorial-con-trascrizione.html E-Book "Cycles per Blender 3D": http://www.francescomilanese.com/ebook-libri.html In questo tutorial vedremo il dietro le quinte del rendering "Red Blood Cells", realizzato mediante Blender 2.63 e Cycles.
My first animation created in Blender.
This is my second capture of a video I've been trying to get for a while. This is white blood cells labeled for DNA with DAPI, nuclear label, imaged with a compact bright field fluorescent microscope. The filter and labeling technique is similar to prior work http://dx.doi.org/10.1117/12.2222317 . I built a device for mounting the filter.
Simulation of red blood cells in a small circular pipe, with a packed cell volume (haematocrit) of 50%. Of interest is the transport and migration of the cells as they deform, and the stresses induced on the lumen wall. This simulation was created using a fully implicit variant of the "Moving Particle Semi-implicit" (MPS) method, a computational method for the simulation of incompressible free surface flows. (Simulation produced by Alberto Gambaruto, BSC)
Dr. Allan, a Lawson scientist in the London Regional Cancer Program, is a national leader in the study of circulating tumour cells (CTCs). Dr. Allan’s lab has developed unique blood tests to track metastasis – the spread of cancer from the original tumour to other sites in the body – by measuring the number of CTCs in a patient’s blood stream. Through new studies, Dr. Allan is expanding her research on CTCs.
This video shows how simulations of dense suspensions (here: 46% volume fraction, 520 cells) of red blood cells can be initialized. The cells are randomly positioned with 50% of their correct radius and then grown to their full size using a simplified MD algorithm. After that, the simulation is started.
Ketheesan Thirusittmapalam, M. Julius Hossain, Ovidiu Ghita and Paul F. Whelan (2013), "A Novel Framework for Cellular Tracking and Mitosis Detection in Dense Phase Contrast Microscopy Images", IEEE Transactions on Biomedical and Health Informatics Vol. 17, No. 3, May 2013, pp 642-653. The video files illustrate the tracking results achieved by the proposed cell tracking and mitosis detection algorithm when applied to: * Madin-Darby Canine Kidney (MDCK) Epithelial Cells * Human Umbilical Vein Endothelial Cells (HUVEC) * HeLa Cells * Murine Neural Progenitor (MNP) Cells * Synthetic data containing 10 sparse cells The video data is provided to graphically illustrate the functionality and the performance obtained by the proposed cell tracking and mitosis detection algorithm. Additional t...
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