男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
US EUROPE AFRICA ASIA 中文
China / Innovation

Three win Nobel for super-zoom microscopes

(Agencies) Updated: 2014-10-08 18:35

Three win Nobel for super-zoom microscopes

American scientist and Nobel prize winner Eric Betzig talks to journalist prior to a lecture at the Helmholz center in Munich October 8, 2014. U.S. citizens Eric Betzig and William Moerner and Germany's Stefan Hell won the 2014 Nobel Prize for Chemistry on Wednesday for smashing the size barrier in optical microscopes, allowing researchers to see individual molecules inside living cells. [Photo/Agencies]

Three win Nobel for super-zoom microscopes
Nobel discovery opens window onto Alzheimer's disease 
Three win Nobel for super-zoom microscopes
Three scientists share 2014 Nobel Prize in Physics 
But the three scientists were able to break that limit by using molecules that glow on command. The advance took optical microscopy into a new dimension that made it possible to study the interplay between molecules inside cells, including the aggregation of disease-related proteins, the academy said.

Hell has used these methods to study nerve cells to get a better understanding of brain synapses; Moerner has studied proteins related to Huntington's disease; and Betzig has tracked cell division inside embryos, the academy said.

"I'm convinced that as a result of this discovery, as a result of the fact that we can see details at much higher spatial resolution, we will find out much quicker what is going on in the cell if a disease emerges," Hell said.

"Any disease, in the end, can be boiled down to a malfunctioning of the cell. And in order to understand what a disease actually means, you have to understand the cell and you have to understand the malfunction."

Moerner said scientists can now tell whether individual molecules are different or the same.

"It's very much like asking whether they all march to the same drummer or not," Moerner told the AP. "When you can watch one by one, then we are able to observe exactly when it changes from one state to another."

Highlights
Hot Topics
...
主站蜘蛛池模板: 博兴县| 澜沧| 临猗县| 宁城县| 五莲县| 恩平市| 泸州市| 深泽县| 榆林市| 宁陵县| 玉龙| 惠安县| 砚山县| 保靖县| 宁海县| 婺源县| 潞西市| 孟津县| 福州市| 长海县| 家居| 阳原县| 西畴县| 措美县| 临安市| 连城县| 东平县| 邵东县| 花莲市| 湖口县| 鲁山县| 宁化县| 黄山市| 昆明市| 阿勒泰市| 西乌珠穆沁旗| 平昌县| 高碑店市| 湛江市| 马龙县| 丰台区| 桐柏县| 手游| 兴安盟| 会东县| 昔阳县| 陆川县| 开远市| 同仁县| 开鲁县| 江西省| 通渭县| 弥勒县| 大方县| 中方县| 嘉定区| 贡嘎县| 宜良县| 大兴区| 洞头县| 得荣县| 临猗县| 凭祥市| 乌鲁木齐县| 汤原县| 开化县| 黎川县| 丁青县| 凤翔县| 林芝县| 南漳县| 绵竹市| 闽侯县| 乌兰县| 中山市| 罗城| 夏津县| 突泉县| 新营市| 南城县| 和顺县| 阿尔山市|