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AprilTags AR Tag 检测
wanglin193 2016-10-19 15:14
主页: http://people.csail.mit.edu/kaess/apriltags/ 代码: https://svn.csail.mit.edu/apriltags/ 需要 OpenCV 和Eigen3。VS2010 sln 工程: apriltag.zip 效果 : 输出每个Tag Marker的ID号,以及6DOF姿态。 AR应用,因为要做虚实叠加,OpenGL的虚拟摄像机的内参和WebCamera设置为同样的参数,虚拟物体的坐标系以Tag的6DOF作为RT参数进行设置。 SLAM应用,每个Tag和Camera的pose通过3D-2D的数据关联很容易得到,而不必使用2D-2D的特征点匹配和tracking计算SfM或VO。使用多个空间的Tag,通过离线BA方法恢复精确的Tag的空间3D位置,可以为SLAM测试数据获取Ground Truth提供帮助。 新版: https://april.eecs.umich.edu/software/
个人分类: 增强现实|6477 次阅读|0 个评论
从marker,走到market
热度 5 boxcar 2013-3-15 07:41
刚刚看到徐鑫老师玩 “ 拆词 ” ,而且拆的是大名鼎鼎的革命导师马克思【 1 】!一篇博文看下来,看得俺有些有痒。 才忽然想起 N 久没有写拆字博文了,再不练练手,就要落后了。 那个天才少年发明癌症检测的低成本新方法的故事,半个月前在我们学校的开学典礼上听我们校长大人亲口讲过,不过校长当时只是用它激励新博士生们去坚韧不拔地努力创新,而没有深入地讲其中的原理。徐老师的新博文一出,算是把当时让俺感到困惑的原理给补上了。用试纸去检测癌症,听起来当然很神奇很新引人,有这个好点子,认认真真地去查资料、找人合作并做实验,绝对是个好的研究 ——research 。 现如今,在各种环境、饮食、生活习惯和社会氛围等因素的共同作用下,罹患癌症的人越来越多,出现的时间也呈现出越来越早的趋势。在一切都要趁早的指导思想下,人是绝对不希望在和癌细胞的竞争中“输在起跑线上”的。因此,对癌症的早期预警倍受重视。给癌细胞的出现 mark 一下,弄一个 marker 来,无疑是个好办法。在俺开来, mark 其实就是“码壳”,marker是个“码壳儿”,想标志的东西太小和不清晰,看不到,我们就给它“码”一个显而易见的“外壳”,这“外壳”要么。很大,要么很艳丽,总之要让人很容易看得到。 在实验室里玩 marker ,固然是件很开心的事儿,但是肯定是很烧钱的事儿。所烧之钱,在德国以前可以是马克,在美国烧掉的则是只许它不断地“量化宽松”但却从来不许与之砍价的美刀。“烧钱”是个研发必然经历的过程,但绝对不是研发之目的。研发最终的目的,应该是赚钱。到哪儿去赚?当然要到市场上去赚! 所以, marker 玩儿得差不多了,就必须推向市场( market )赚钱,把后面的 r 换成 t 。换句话说,就是不再没完没了地 research (都 search 到了,就别再 re 了!),赶紧解决好工艺技术问题( technology ),然后而去弄有点儿 turnover (交易额)的 trade (交易)吧。俺们用户期待着有好用的 marker , marker 的 maker 们,你们是不是也希望有更多的 money 呀?! 参考: 【 1 】徐鑫: 马克思 —— 关于 marker (马克)的思考 http://blog.sciencenet.cn/home.php?mod=spaceuid=876720do=blogid=670421
个人分类: 科研|4800 次阅读|7 个评论
研究热点分析:分子标记物 Molecular marker
xupeiyang 2010-5-9 12:26
http://www.gopubmed.org/web/gopubmed/1?WEB03pvul3p9thxaI5hIavI0 382 of 489,288 documents semantically analyze Term: Biological Markers Description: Measurable and quantifiable biological parameters (e.g., specific enzyme concentration, specific hormone concentration, specific gene phenotype distribution in a population, presence of biological substances) which serve as indices for health- and physiology-related assessments, such as disease risk, psychiatric disorders, environmental exposure and its effects, disease diagnosis, metabolic processes, substance abuse, pregnancy, cell line development, epidemiologic studies, etc. Synonyms: Viral Markers, Laboratory Marker, Surrogate Endpoints, Surrogate End Points, Immune Marker, Biologic Markers, Serum Markers, Surrogate Marker, Biological Marker, Clinical Markers, Viral Marker, Clinical Marker, Immune Markers, Immunologic Markers, Surrogate Markers, Surrogate Endpoint, Laboratory Markers, Surrogate End Point, Biologic Marker, Immunologic Marker, Serum Marker, Biochemical Marker, Biomarkers, Biochemical Markers Top Years Publications 2008 31,673 2009 30,976 2007 22,802 2010 6,157 2006 619 2005 46 2001 39 2004 22 2000 18 2002 14 2003 8 1998 5 1997 3 1 2 3 ... 210 Top Journals Publications J Immunol 1,784 Blood 1,045 Clin Cancer Res 797 J Biol Chem 727 Cancer Res 610 Plos One 573 J Clin Oncol 521 Proc Natl Acad Sci U S A 429 Int J Cancer 411 Eur J Immunol 393 J Virol 376 Am J Surg Pathol 368 Biochem Biophys Res Commun 367 Anticancer Res 336 Theor Appl Genet 328 Hum Pathol 314 Oncol Rep 312 Cancer 311 World J Gastroentero 304 Arth Rheum/ar C Res 295 1 2 3 ... 210 1 2 3 ... 1877 Top Terms Publications Humans 72,895 Patients 34,471 Biological Markers 33,512 Animals 29,389 Middle Aged 25,749 Adult 24,467 Proteins 23,367 Aged 19,656 Neoplasms 18,806 Evaluation Studies as Topic 17,015 Genes 16,437 Mice 16,099 Tumor Markers, Biological 14,600 Tissues 13,960 Serum 11,746 Diagnosis 11,045 Immunohistochemistry 11,035 antigen binding 10,453 T-Lymphocytes 10,181 Prognosis 10,134 1 2 3 ... 1877 1 2 3 ... 9 Top Countries Publications USA 25,010 Japan 7,811 China 5,910 Germany 5,623 United Kingdom 4,737 Italy 4,080 France 3,147 Canada 2,603 Spain 2,097 Netherlands 2,011 South Korea 1,898 Australia 1,638 Brazil 1,573 Sweden 1,548 Turkey 1,197 India 1,166 Taiwan 1,159 Poland 1,073 Switzerland 975 Greece 891 1 2 3 ... 9 1 2 3 ... 135 Top Cities Publications Boston 1,782 Tokyo 1,432 New York 1,352 London 1,325 Seoul 1,090 Bethesda 946 Baltimore 920 Beijing 889 Houston 878 Paris 839 Philadelphia 799 Shanghai 769 Toronto 622 Los Angeles 615 Milan 607 San Francisco 572 Berlin 562 Chicago 559 Rome 553 Seattle 552 1 2 3 ... 135
个人分类: 热点前沿|2253 次阅读|0 个评论
谁将是荧光蛋白质的后继者?
sunon77 2008-10-13 05:40
This years Nobel Prize of Chemistry went to three scientists who made significant contribution toward marking proteins in the living cell with Green Fluorescent Protein (GFP). Nobel prizes usually cause a sensation in the media but not among real researchers. Since if the discovery could be bestowed with the honor, it has already been widely known or widely used for quite a while. Now what researchers really care is what will come after Green Fluorescent Protein technology since GFP certainly has some limits. There are still many urgent demands from biologists which GFP can not meet. Current technology of protein dyes The revolution of GFP is to enable researchers to see when and where certain proteins are expressed. You could even associate the intensity of GFP with the protein concentration. Then you can derive some quantitative measurements for your modeling. The most impressed GFP image which I have seen is from Robert Kays research of the Chemotaxis of E Coli. He showed that when certain genes of molecular motors are knocked out, the cell can not move at all even GFP images show signaling proteins are correctly synthesized in the chemical gradient direction. Fig. 1 GFP to show the expression of Chemotaxis signaling proteins You can see a video here: http://www2.mrc-lmb.cam.ac.uk/groups/rrk/movie2.html Gene Myers from Janelia Farm Research campus of HMMI even introduced computerized visual identification to scan thousands of GFP images from genome-wide experiments. Therefore, not just single biochemical pathway could be made clear from GFP. The total protein interaction network dynamics could be inferred from genome-wide protein expression pattern with GFP. Limitation of protein dyes Protein dyes technology is hugely improved fby the mutations leading to various colors and increased Fluoresce in the Roger Tiens hands. However, the number of different color is still too limited with the respect to the increasing demands from biologists to see the expression patterns of the large number of different proteins simultaneously. We could learn when and where proteins are expressed by GFP but the number is usually very small. Fig. 2 Three color scheme GFP image for cell mitosis To make up for this limitation, the current high-throughput technology is usually used to quench cells and extract cell extracts every few minutes or even hours to capture the cell dynamics. Then concentrations of different proteins are separated by mass-spectrometer. However, there are several disadvantages: First, we lose the information of spatial distribution of those proteins. Secondly, it is highly efforts-consuming job so it is quite coarse-grained in time resolution. Thirdly, there certainly are some unexpected changes when we crash the cells. Therefore, high-throughput mass-spectrometry technology can handle with hundreds of proteins at the same time but lose much information of space and time. Outlook of protein marking technology It is urgent to develop a new technology to mark hundreds of different proteins simultaneously and to detect their expression without any damage to the cell. There are many wild speculations. Nobody has really developed some feasible technology, yet. One possibility is to use some proteins with hundreds of different conformations if it is mutated. They can be attached to any proteins which the biologists are interested. Then an nano-NMR array scanner could be used to scan the cell for its spatial-temporary protein expression pattern. There is no need for the nano-scanner to have a high resolution. It is enough if it can distinguish various shapes of mutated protein markers. However, it has to be fast enough to give a better time resolution. Feynman once said that what Biology needs is to see better at the atomic Level: We have friends in other fields--in biology, for instance. We physicists often look at them and say, You know the reason you fellows are making so little progress? (Actually I don't know any field where they are making more rapid progress than they are in biology today.) You should use more mathematics, like we do. They could answer us--but they're so polite, so I'll answer for them: What you should do in order for us to make more rapid progress is to make the electron microscope 100 times better. This observation is still valid if we want to study the details of the biochemical reactions. However, if we want to study the dynamics of hundreds or even thousands of proteins within one cell, a automatic protein marking and detecting technique with high spatial-temporary resolution is what biologists desperately need. This years Nobel Prize does not signify the beginning of the end of protein marking technology; instead, it is just the end of the beginning. END
个人分类: 生物物理-biophysics|4943 次阅读|2 个评论

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