{"title":"Exercise: gain without pain.","authors":"Erin Diel","doi":"10.1103/physrevfocus.4.12","DOIUrl":null,"url":null,"abstract":"This lecture series is designed to provide information on applications and techniques available in the HCBI. You do not need to be a member of the facility to attend! For further information, please contact Doug Richardson (drichardson@fas.harvard.edu). Pizza and drinks provided by Carl Zeiss Microscopy, LLC Sept 25th 12:00PM Raman spectroscopy for biological applications Raman spectroscopy is the inelastic scatting of light that allows for label free chemical imaging of a sample. It has had challenges being widely adopted for biological applications due to the common issue of autofluorescence in biological samples and a seemingly overwhelming amount of information contained in a Raman data set. Come hear from Arthur McClelland about recent approaches to solving both these challenges.","PeriodicalId":88504,"journal":{"name":"Health news","volume":"126 1","pages":"2"},"PeriodicalIF":0.0000,"publicationDate":"1999-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health news","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1103/physrevfocus.4.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This lecture series is designed to provide information on applications and techniques available in the HCBI. You do not need to be a member of the facility to attend! For further information, please contact Doug Richardson (drichardson@fas.harvard.edu). Pizza and drinks provided by Carl Zeiss Microscopy, LLC Sept 25th 12:00PM Raman spectroscopy for biological applications Raman spectroscopy is the inelastic scatting of light that allows for label free chemical imaging of a sample. It has had challenges being widely adopted for biological applications due to the common issue of autofluorescence in biological samples and a seemingly overwhelming amount of information contained in a Raman data set. Come hear from Arthur McClelland about recent approaches to solving both these challenges.