电动脑立体定位仪

[url=http://www.f-lab.cn/stereotaxis/sr-9m.html]微操作[b]立体定位仪[/b]SR-9M[/url]是专门为小鼠慢性实验设计的[b]小鼠定位仪器[/b]，它可以在小鼠非麻醉状态下在相同位置重复固定，使得小鼠慢性实验或急性实验可以在不造成动物损害情况下顺利地完成。微操作[b]立体定位仪[/b]SR-9M可用于视觉和听觉实验。头部固定器可以从基板移出，因此可以放置在显微镜下。提供一个AP框架槽，可以连接许多不同类型的配件比如显微SM-15 L / R。通过将室框架连接到小鼠头部，在非麻醉状态在同一位置重复定位成为了可能。一旦室框架被固定在头上，不需要麻醉，无需使用口、鼻夹或耳棒小鼠可以被立体定位固定而，使SR-9M可以用于视觉和听觉实验。 [img=微操作立体定位仪]http://www.f-lab.cn/Upload/sr-9m_.jpg[/img]微操作[b]立体定位仪[/b]SR-9M需要不带立体定位显微操作器SM-15的版本，请访问SR-9M-HT。自从NARISHIGE的立体定位操作器根据新标准制作后，AP框架具有18.7mm的方形形状。微操作[b]立体定位仪[/b]SR-9M[b]规格[/b][table=610][tr][td] [/td][td]SM-15 R/L 立体定位显微操作器EB-3B 小鼠耳柱（一对）EB-5N 小鼠辅助耳柱CF-10 室框架 x 5件.[/td][/tr][tr][td]尺寸大小，重量[/td][td]宽400 x 深300 x 高110mm, 9.2kg [/td][/tr][/table]微操作立体定位仪：[url]http://www.f-lab.cn/stereotaxis/sr-9m.html[/url]

[url=http://www.f-lab.cn/stereotaxis/sr-5c.html][b]狨猴立体定位仪[/b]SR-5C[/url]是带有[b]显微操作器[/b]的固定普通狨猴实验的[b]立体定位仪[/b]器，一套系统满足狨猴固定和定位以及显微操作实验。[b]狨猴立体定位仪[/b]SR-5C具有许多有用的功能可以安全地将动物固定到适当位置，进行立体定位步骤。为普通狨猴特别设计的辅助耳棒，可以只用一只抓牢，还可以固定到耳孔并使用指尖确认感觉。 眼孔的多孔面固定到固定器上，多孔面也是为尽量减少狨猴的损害而设计的。通过固定耳孔，眼孔和上颚，确保立体固定。提供一个18.7毫米AP框架，除了已连接的显微操作器SM-15外，这样许多不同类型的配件也可以连接到该[b]狨猴立体定位仪[/b]。[img=微操作型狨猴立体定位仪]http://www.f-lab.cn/Upload/sr-6c_.jpg[/img][b]狨猴立体定位仪[/b]SR-5C有一个AP框架，SR-6C有两个。不带显微操作器的版本可以在这里找到：[color=#0000ff]SR-5C-HT[/color][b][b]狨猴立体定位仪[/b]规格[/b][table=530][tr][td]配件[/td][td]SM-15 立体定位显微操作器EB-3A辅助耳棒六角扳手[/td][/tr][tr][td]尺寸大小/重量[/td][td]W400 × D300 × H110mm, 8.85kg[/td][/tr][/table]更多定位仪请浏览官网：[url]http://www.f-lab.cn/stereotaxis.html[/url]

[url=http://www.f-lab.cn/microinjectors/ims-20.html][b]电动立体定位微量注射器[/b]IMS-20[/url]是一款具有立体定位功能的[b]电动微量注射器，电动立体定位微量注射器[/b]是全球领先的全[b]自动微量注射[/b]的仪器,能够兼容所有的Hamilton注射器。电动立体定位微量注射器Motorized Stereotaxic Microinjector使得微量注射工作非常方便简单，只需要在控制器中输入注射时间和溶液注射量，选择合适的Hamilton注射筒，系统可自行自动完成微量注射，而且电动立体定位微量注射器还带有实时过程监测功能显示注射时间和量，注射完成后使用简单的闩锁机械轻易锁住注射器。Hamilton注射器参考表[table=990][tr][td][b]Hamilton的[b]系列注射筒型号[/b][/b][/td][td]5, 701, 702, 705, 710, 725, 1701, 1702, 1705, 1710, 1725, 7000.5, 7001, 7101, 7002, 7102, 7105[/td][td] [/td][/tr][/table]* 上述的Hamilton系列注射器内置于参考表。* 当直接输入内径和量时，用户可以使用参考表上的内置注射器之外的注射器。[img=电动立体定位微量注射器]http://www.f-lab.cn/Upload/IMS-20-L_.jpg[/img][url=http://www.f-lab.cn/microinjectors/ims-20.html]电动立体定位微量注射器[/url]规格[table=750][tr][td=2,1][b]配件[/b][/td][td]电源线(1.5m)连接电缆 (2.0m)[/td][/tr][tr][td=2,1][b]驱动源[/b][/td][td]5相步进马达[/td][/tr][tr][td=2,1]移动范围[/td][td]60mm[/td][/tr][tr][td=2,1]额度电压[/td][td]AC100V ~ 240V, 50/60Hz[/td][/tr][tr][td=2,1][b]消耗功率[/b][/td][td]10W[/td][/tr][tr][td=1,2]尺寸大小/重量[/td][td][b]驱动单元[/b][/td][td]W30 x D167 x H84mm, 426g[/td][/tr][tr][/tr][tr][td][b]控制单元[/b]W180 x D95 x H260mm, 2.45kg[/td][/tr][/table][b][url=http://www.f-lab.cn/microinjectors/ims-20.html]电动立体定位微量注射器[/url]特点[/b]*装载的注射器外径必须从6.5mm到9mm（少于9mm），Tritech研究公司的注射器不可用.* 与SM-15连接时，需要附加装置SM-15A.* 脚踏IMS-20F可以用于进行额外控制. (单独售卖)

[url=http://www.f-lab.cn/stereotaxis/sr-10r.html][b]大鼠慢性实验立体定位显微操作系统[/b]SR-10R[/url]集成立体定位仪器和立体定位显微操作器于一体，专业为大鼠慢性实验而设计，精确而可重复地固定大鼠，它开创了大鼠慢性实验精确立体定向显微操作的新纪元。 大鼠慢性实验立体定位显微操作系统SR-10R-HT是专门为对大鼠慢性实验而设计的。使用室框架固定，实现了在非麻醉状态下在相同位置的重复定位。从而慢性实验以及急性实验可以在不造成动物损害下顺利完成。[img=立体定位显微操作系统]http://www.f-lab.cn/Upload/sr-10r.jpg[/img]大鼠慢性实验立体定位显微操作系统SR-10R-HT可用于视觉或听觉实验。头部固定装置可以从基板移出，因此可以放置在显微镜下。该设备提供AP格线，可以连接许多不同类型的配件，比如显微操作器SM-15 L / R。把室框架连接到老鼠头部，使在非麻醉状态下的同一位置反复定位成为了可能。一旦把室框架固定在头上，不需要麻醉，不需要口、鼻夹或耳棒就可将大鼠立体定向固定，这样SR-10R就可用于视觉或听觉实验。[b]大鼠慢性实验立体定位显微操作系统特色[/b]立体定位显微操作器 SM-15被包括在内。需要没有显微操作器的版本的，请访问SR-10R-HT。 NARISHIGE的立体定位操作器根据新标准制造，该AP框架具有18.7mm的方形台。[b]大鼠慢性实验立体定位显微操作系统规格[/b][table=514][tr][td]配件[/td][td]EB-3B 大鼠耳棒(一对)EB-5N 大鼠辅助耳棒CF-10 室框架 x 5块.[/td][/tr][tr][td]尺寸大小/重量[/td][td]W400 x D300 x H110mm, 9.2kg[/td][/tr][/table]更多定位仪请浏览官网：[url]http://www.f-lab.cn/stereotaxis.html[/url]

[url=http://www.f-lab.cn/stereotaxis/srp-6m-ht2.html][b]小鼠MRI立体定位器SRP-6M-HT2[/b][/url]是用于核磁共振环境的[b]小鼠立体定位仪器[/b],它采用兼容MRI的材料制造，是[b]小鼠核磁共振[/b]和显微操作实验的理想选择。[b]小鼠MRI立体定位器SRP-6M-HT2[/b]头部固定器组件是由100％塑料制成，AP框架棒和基板都由金属制成,保证了稳定和精确的立体定位记录，头部固定组件能够从基板拆卸下来，使得MRI可以扫描固定在相应位置的动物，核磁共振扫描之后，相应位置固定着动物的头部固定组件，能够轻易地放回在基板的原有位置，[b]小鼠MRI立体定位器SRP-6M-HT2[/b]能够用于多种多样的应用，只需更换头部固定组件用于小鼠，结合该设备可以注入标记或造影剂，用于MRI扫描，头部固定组件可以进行立体定位，记录对准动物的MRI扫描点。[img=小鼠MRI立体定位器]http://www.f-lab.cn/Upload/srp-6m-ht2_.jpg[/img][b]小鼠MRI立体定位器SRP-6M-HT2特色[/b]自从NARISHIGE的立体定位操作器根据此标准制作后，AP框架具有18.7mm的方形形状。如提供的 SM-15 立体定位显微操作器。需要带显微操作器的版本请访问SRP-6M。SRP-5M-HT2 和 SRP-6M-HT2 之间的差别在于AP框架杆的数目。 SRP-5装配有一个AP框架杆，而SRP-6装配有两个AP框架杆。用于大鼠的版本分别是SRP-5R-HT2 和 SRP-6R-HT2（SRP-5R 和 SRP-6R不带显微操作器）小鼠MRI立体定位器：[url]http://www.f-lab.cn/stereotaxis/srp-6m-ht2.html[/url]

[url=http://www.f-lab.cn/micromanipulators/sm-25b.html][b]立体定位微操作器SM-25B[/b][/url]是NARISHIGE公司专业为[b]微电极操作[/b]而设计的一款具有立体定位功能的薄型[b]显微操作器[/b]，可以把数个微电极紧密地放在一起,是理想的[b]微电极操作器[/b]。[b][url=http://www.f-lab.cn/micromanipulators/sm-25b.html]立体定位微操作器SM-25B[/url]特点[/b]用于立体定位仪器的多通道记录，在不损害其稳定性下设计得尽可能薄。配备了一个固定夹持器，用来固定微电极，薄板以同样的方式固定微电极。[img=立体定位微操作器]http://www.f-lab.cn/Upload/SM-25A-L_.jpg[/img]三个平面都配备了旋转机械，水平平面可以用操作手柄转动。使用这种机械可以设置微电极角度，并且容易把微电极紧密地放置在一起。此系列有三种类型（A，B和C），通过Z轴移动单元的排列进行区分。 B型提供了一种简单粗动单元。[b][b]立体定位微操作器[/b]规格[/b][table=491][tr][td=1,2]移动范围[/td][td]粗调[/td][td]X轴40mm, Z轴40mm[/td][/tr][tr][td=2,1]透视角度调整[/td][/tr][tr][td=2,1]尺寸大小/重量[/td][td]W125 x D28 x H157mm, 330g[/td][/tr][/table]

[url=http://www.f-lab.cn/stereotaxis/ra-5.html]兔子立体定位适配器[/url][b]RA-5[/b]用于SN系列立体定位仪器上的兔子研究，因为耳固定杆不适用于兔子，所以[b]RA-5适配器[/b]固定兔子的太阳穴，使用标准的口夹和耳固定杆完成固定。[img=兔子立体定位适配器]http://www.f-lab.cn/Upload/ra-5_.jpg[/img][b]兔子立体适配器：[/b][url]http://www.f-lab.cn/stereotaxis/ra-5.html[/url][b][/b]

想购买一个GPRS定位仪,网上查查好象类型很多,初次接触什么都不懂,请教大侠买那种比较实惠

闪电定位仪是一种监测雷电发生的气象探测仪器，是指利用闪电辐射的声、光、电磁场特性来遥测闪电放电参数的一种自动化探测设备，并把经过预处理的闪电数据实时地通过通讯系统送到中心数据处理站实时进行交汇处理，可全天候、长期、连续运行并记录雷电发生的时间、位置、强度和极性等指标。闪电定位仪是开展雷暴预报的基础条件，将对该县的森林防火、防雷减灾、灾害调查和人工增雨等工作有很大的促进作用，能够为该县的经济社会又好又快发展提供有力的保障。 近日，许昌首台闪电定位仪成功安装，落户禹州。该闪电定位仪在河南省气象局技术装备保障中心技术人员指导下成功安装，结束了禹州市气象局人工目测雷电的历史。 对雷电监测能够有效的预报，防雷减灾，但传统的目测雷电由于精确度不高，限制了一系列工作的开展。随着闪电定位仪投入使用，能够对雷电进行有效监测，从而支持和指导防雷减灾、灾害调查、人工增雨和森林防火等工作的开展。 该闪电定位仪能够覆盖禹州市的26个乡(镇、办)，进一步提升雷电监测精确性，也完善了当地雷电监测系统建设，为气象和安全提供可靠科学依据。

[url=http://www.f-lab.cn/stereotaxis/sts-7-ht.html][b]小动物脊髓夹立体定向仪[/b]STS-7-HT[/url]用于夹紧基因敲除小鼠或新生大鼠的脊髓，并具有[b]立体定向仪器[/b]的功能。[b]小动物脊髓夹立体定向仪[/b]STS-7-HT[b]特色[/b]其脊髓夹紧装置可以让用户使用指尖感觉到夹紧触感，从而防止对脊髓造成损伤[b]，[/b]结合了主要用于显微操作器的精细调节技术，可以对一个目标点准确定位[b]，[/b]配置小动物头部夹紧单元（口夹和鼻甲），将小鼠或大鼠的小脑袋固定在正确的位置，提供了有精细调节功能的辅助耳固定杆，辅助耳固定杆的点可用于各种尺寸，并且根据用途替换，替代容易（例如，用来避免鼓膜的破裂或牢固地固定耳朵），自从Narishige的立体定位操作器根据此标准制造后，STS-7-HT配备了一根AP框架杆（18.7mm方形），用来安装如SM-15Narishige立体定位显微操作器这样的配件，需要带显微操作器的版本请访问 STS-7 *用于有发育完全的耳道的小鼠或新生大鼠，[b][b]小动物脊髓夹立体定向仪[/b]STS-7规格[/b][table=505][tr][td][b]配件[/b][/td][td]专用辅助耳固定杆连接环螺丝六角扳手[/td][/tr][tr][td][b]尺寸大小[/b][/td][td](基板):宽400 x 深300 x 高110mm, 9.6kg[/td][/tr][/table]更多定位仪请浏览官网：[url]http://www.f-lab.cn/stereotaxis.html[/url]

[url=http://www.f-lab.cn/stereotaxis/gm-3.html][b]大鼠麻醉面罩GM-3[/b][/url]是与[b]麻醉蒸发器[/b]或大鼠立体定位仪器配套使用，用于对大鼠实施麻醉的[b]麻醉面罩。大鼠麻醉面罩GM-3特点[/b]*麻醉面罩可以轻松地安装在Narishige公司立体定位仪器SR-5M，SR-5R，SR-6M和SR-6R上*麻醉面罩有不会移动的三点夹持装置，可以夹鼻和确保牢固固定。紧凑的设计不会影响实验进程*如果你想要把麻醉面罩安装在头固定适配器或是旧型立体定向仪器这样的装置上，请向我们咨询[img=大鼠麻醉面罩]http://www.f-lab.cn/Upload/gm_3_.jpg[/img]大鼠麻醉面罩：[url]http://www.f-lab.cn/stereotaxis/gm-3.html[/url]

[color=#DC143C][size=4][font=黑体]【动脑筋、考技术、增知识------我们一起来比拼】是一项答题活动，目的在于看看我们平时学的知识掌握的如何？怎么样，敢试下吗？既然是活动嘛，寓教于乐，回答正确的给分奖励[em0910][em0903][/font][/size][/color]如果每题0.5分的话。。。。。[em0901]

微透析探针：2通道微量注射泵；自由运动装置配置；自由活动装置1套适合于微透析探针；动物笼 1套 适合于大小鼠；样本冷却系统1套；样本收集器；PCR96孔板或500μl离心管；最小采集量：5μl；采集速率：5秒～99分钟1秒步进；脑立体定位仪固定器。

[color=#DC143C][size=4][font=黑体]【动脑筋、考技术、增知识------我们一起来比拼】是一项答题活动，目的在于看看我们平时学的知识掌握的如何？怎么样，敢试下吗？既然是活动嘛，寓教于乐，回答正确的给分奖励[/font][/size][/color][em0910][em0909][em0903]如果每题0.5分的话。。。。。[em0903]

[b]如题现在做市场推广，想知道那些机构应用这款设备，有的放矢[img]https://simg.instrument.com.cn/bbs/images/default/em09502.gif[/img]我们现在这款设备在国外应用非常成熟了，不知道国内现在应用什么情况？[font=&][size=16px]随机定位仪通过在三个方向(3D)运动中随机改变重力矢量的方向来进行微重力地面模拟实验。被广泛用于微重力环境下的科学研究如细胞培养、微重力环境下细胞生态学研究、植物生态学研究以及小型动物活体、植物活体在微重力环境下的生态学研究。国外已经有非常成熟的应用案例。欢迎私信讨论。[/size][/font][/b]

能否实现立体成象?怎样实现?谢谢了先!

[url=http://www.f-lab.cn/stereotaxis/sm-11.html][b][b]显微操作器[/b]SM-11[/b][/url]是用于立体定位仪器最受欢迎的立体定位显微操作器，因为它可以连接到任何AP框架杆，并提供多轴运动。[img=显微操作器]http://www.f-lab.cn/Upload/SM-11-L_.jpg[/img][b][b]显微操作器[/b]Z轴[/b]上连接了一个有长工作范围的粗动单元，除了微动单元外，各轴都能调整。这些微动单元具有最小增量为10μm的尺度（即，一个旋转，总的为500µ m，分成50个等级），因此进行10μm的精确调整是可行。此外，Z轴上的微动单元有一个滑动机械，可以对X轴进行大概定位。在X-Y，X-Z和Y-Z平面上都有旋转机械，可以从任何所需角度接近。任何有需要的地方都有易于使用的尺度，因此可以根据脑图表进行操作。总的来说，[b]SM-11显微操作器[/b]使用简单，适用于各种各样的应用程序。显微操作器：[url]http://www.f-lab.cn/stereotaxis/sm-11.html[/url]

用NMR能确定立体结构吗？

微透析探针：普通探针；带微注射管；水泥钉；立体定位附件；附套管；引导套管；封闭螺帽；特氟隆管，50cm；连接管，50cm微量注射泵：2通道微量注射泵；流速范围≥0.1 - 20μl/分钟；注射器容积：10μl-5ml自由运动装置配置连接管50cm自由活动装置1套适合于微透析探针动物笼 1套适合于大小鼠样本冷却系统1套样本收集器收集方式PCR96孔板或500μl离心管最小采集量5μl采集速率5秒～99分钟　1秒步进脑立体定位仪固定器耳棒1对三维微操作器；标准电极固定器；定位精度：≤0.1mm操作臂调节范围≥80mm； 电极摆动范围≥90度门齿固定器调节范围≥上下20mm≥前后44.5mm微量注射泵分辨率：0.635微米(1/2步距)注射器(进口)最小注射速度0.01微升/分最大注射速度200微升/分最小可设定注射量0.001微升

想测定衍生化单糖的立体构型，请问需要做核磁的什么实验啊？需要做二维的NOE或者COSY？

[url=http://www.f-lab.cn/microscopestages/scanplus100.html][b]电动显微镜载物台Scanplus100[/b][/url]集成了测量系统，实现显微镜和样品的精确定位，提供75x50mm的行程范围，最小步进高达0.05微米，定位进度高达1微米，是全球领先的[b]自动显微镜载物台品牌[/b]。[b]电动显微镜载物台Scanplus100产品特点[/b]集成高精度测量系统实现全球最高定位精度和测量精度具有定位测量功能德国圆角的平面人体工程学设计显微镜载物台插入配件可更换设计，具有多种stage inserts 选配，满足显微镜应用电机/编码器电缆前右部连接，符合操作人员习惯集成电子位移台识别系统，自动识别扫描台及其控制器配备高精度特定型号控制，可享受全球5年超长质保[b]电动显微镜载物台Scanplus100参数[/b]行程范围：100x100mm行进速度：最大240mm/s重复定位精度：1um精度：+/-1um分辨率：0.05um (最小步进）正交性：10arcsec驱动电机：2两相步进电机位移台开口：160x116mm材质：高级铝表面处理：氧化涂层，黑漆自重：~2.6kg电动显微镜载物台Scanplus系列集成融入了测量系统，专业为显微镜自动样品定位和精密样品定位应用设计，专业为全球主流显微镜品牌配套，独具的测量系统功能是全球领先的超精密定位测量系统，极大提高测量精度。电动显微镜载物台Scanplus采用全球领先的德国长期润滑系统，确保长期使用而不需维护.更多载物台官网：[url]http://www.f-lab.cn/microscope-stages.html[/url]

有立体构型（R 和S）的化合物测定消旋比是否一定要用位移试剂？

[url=http://www.f-lab.cn/stereotaxis/sr-50r-ht.html][b]大鼠立体定位倾斜工作站[/b][/url]SR-50R-HT可从侧面接近大鼠，是为小动物，特别是[b]大鼠立体定位[/b]研发的立体定位仪器。[url=http://www.f-lab.cn/stereotaxis.html]大鼠立体定位倾斜工作站SR-50R-HT[/url]倾斜的设施使得可以从侧面接近，用于检查听觉皮层，内嗅皮质，腹侧海马和杏仁体。一个刚性调节支架使倾斜变得可行，安装一个固定板保证动物不会掉落。[img]data:image/jpeg 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[/img]*SM-15单独出售.*用于小鼠，请考虑 SR-50M-HT.自从NARISHIGE的立体定位操作器，如SM-15立体定位显微操作器根据此规格制造后，SR-50R-HT配备了一个AP框架槽（18.7mm方形）用来安装附件。大鼠立体定位倾斜：[url]http://www.f-lab.cn/stereotaxis/sr-50r-ht.html[/url]

有一台高倍的立体显微镜（进口的），在150x的情况下观察，视野里明显的看到有一些类似纤维的东西在游动（没有放置任何样品），甚至还有像气泡的圈圈在移动，请问是显微镜本事质量问题还是该类型的设计问题呢？（厂家说是设计问题）

随着3D立体打印技术的科学发展，这种技术对实验室会产生何种影响呢？3D立体打印技术可打印任何一种物体，在实验室应用方面，是否可以打印烧杯、三角烧瓶、容量瓶、吸管等器皿，或者更加复杂的检测仪器？请大家在这方面谈自己的见解和看法。

核磁可以判断绝对立体构型吗？

操作的设计和原理电动气动定位器已安装在气动控制阀上并用于分配阀门位置（控制变量x）到控制信号（设定点w）。萨姆森定位器比较电控信号控制系统到旅行或开幕控制阀的角度并发出信号压力（输出变量y）用于气动执行器。萨姆森定位器的设计取决于哪些配件选择直接附件SAMSON 3277型执行器或按照附件与执行器连接到NAMUR（IEC 60534-6）。此外，还包括一个耦合轮配件需要转移旋转根据的旋转执行机构的运动VDI / VDE 3845。无弹簧旋转执行器需要倒车放大器包含在附件中允许任何方向的动力操作。萨姆森定位器由一个行程传感器系统组成与电阻成比例，模拟具有下游空气容量的I / P转换器增压器和带微控制器的电子器件。萨姆森定位器配有两个可调节的软件限制联系人作为标准指示阀门的最终位置。阀杆的位置被传送作为旋转角度或行程通过拾取杆到达行程传感器并提供给模拟PD控制器。A / D转换器发送该位置的阀连接到微控制器。PD控制器比较这个实际情况位置为4至20 mA直流控制信号（参考变量）被转换后通过A / D转换器。在系统偏差的情况下，激活i / p模块的状态被改变，控制阀的致动器被加压或相应地在下游排气助推器。这导致了阀门插头移动到确定的位置设定点。供气被提供给助推器压力调节器。一个中间人使用具有固定设置的流量调节器清除定位器，并在同一时间，保证无故障运行助推器。输出信号由压力传感器提供助推器可以通过激活限制在2.4巴P9参数。体积限制用于优化[url=http://www.samson-china.com/]萨姆森定位器[/url]通过使其适应执行器尺寸。紧闭功能：气动执行器完全充满用空气或一旦设定点排气低于1％或超过99％。

http://i3.sinaimg.cn/IT/2011/0210/U5385P2DT20110210072538.jpg科学家们希望此次新获取的立体图像将有助于他们更好的理解太阳的运作方式http://i0.sinaimg.cn/IT/2011/0210/U5385P2DT20110210072553.jpg两艘飞船，相距180度。它们搭档获取了太阳迄今最精细完整的立体图像http://i3.sinaimg.cn/IT/2011/0210/U5385P2DT20110210072606.jpg同时对太阳正面和背面进行详尽光观测有助于实现更高精度的空间天气预报，并为未来的自动化或载人的太阳系探测计划提供更好的保障。http://i3.sinaimg.cn/IT/2011/0210/U5385P2DT20110210072624.jpgSTEREO探测器运行示意图　　北京时间2月10日消息，据英国《每日邮报》报道，美国宇航局的探测器已经成功绘制首张太阳的完整立体3D图像。该局所属“日地关系观测台”(Solar Terrestrial Relations Observatory-STEREO)由两颗相距180度的探测器组成，部署于太阳两侧，一颗总在地球前进方向的前方，另一颗总在后方，并以此获取太阳的3D立体图像。　　同时对太阳正面和背面进行详尽光观测有助于实现更高精度的空间天气预报，并为未来的自动化或载人的太阳系探测计划提供更好的保障。　　STEREO探测器于2006年10月发射升空，其主要任务是对日地之间的物质和能量流进行监控。　　同时，这也将提供有关日-地关系的独特而具有革命性的视角和观点。2007年，这一探测器系统首次实现对太阳的3-D观测。2009年，这一系统首次获取了“日冕物质抛射”(CME)的立体观测数据。这种剧烈的日面现象将导致严重后果，包括通讯中断，导航信号干扰以及卫星和电网的损毁。　　STEREO探测器搭载的成像和粒子探测设备的设计和建造高度国际化，参与进来的国家包括美国、英国、法国、德国、比利时、荷兰以及瑞士。克里斯·戴维斯博士(Chris Davis)是该项目的科学家，他认为STEREO探测器已经为我们带来了一些令人震撼的图像，包括太阳的粒子爆发，以及在太阳风中苦苦挣扎的彗星。他说：“对于这一崭新的阶段，我感到非常高兴，我非常期待看到未来几年内有更多新的观测成果出现。”　　而在一次接受英国《卫报》记者采访时，英国卢瑟福实验室(Rutherford Appleton Lab)的科学家，搭载在STEREO探测器上的英国建造的相机的首席科学家理查德·哈里森(Richard Harrison)表示：“太阳远不是一般人想象的那样，是一个平静的黄色圆球。它很复杂，因此获取其立体图像对于理解其运作原理至关重要。你不能指望盯着太阳的一小块区域，然后尝试去理解太阳如何运作，甚至比你化验大脑的一部分，并试图了解其工作原理还要艰难。你需要一个更大，更全面的视野。

请教如何通过核磁确定高分子的立体规整问题