Multimodal label-free microscopy  

作　　者：Nicolas Pavillon Katsumasa Fujita Nicholas Isaac Smith 

机构地区：[1]Biophotonics LaboratoryImmunology Frontier Research Center(IFReC [2]Department of Applied Physics,Osaka University,Suita,Osaka 565-0871,Japan

出　　处：《Journal of Innovative Optical Health Sciences》2014年第5期17-38,共22页创新光学健康科学杂志（英文）

基　　金：funding from the Japan Society for the Promotionof Science(JSPS)through the Funding Program for World-Leading Innovative R&D on Science and Technology(FIR.ST Program);JSPS World Premier International Research Center Initiative Funding Program.

摘　　要：This paper reviews the different multimodal applications based on a large ext ent of label-freeinaging modalities,ranging from linear to nonlinear optics,while also inchuding spectroscopicmeasurements.We put specific emphasis on multimodal measurements going across the usual boundaries between imaging modalities,whereas most multimodal platforms combine techniquesbased on similar light interactions or similar hardware implementations.In this review,we limitthe scope to focus on applications for biology such as live cells or tissues,since by their nat ure ofbeing alive or fragile,we are often not free to take liberties with the image acquisition times andare forced to gather the maximum amount of information possible at one time.For such samples,imaging by a given label-free method usually presents a challenge in obt aining suficient opticalsignal or is limited in terms of the types of observable targets.Multimodal imaging is thenparticularly attractive for these samples in order to maximize the amount of measured infor-mation.While multimodal imaging is always useful in the sense of acquiring additional infor-mation from additional modes,at times it is possible to attain information that could not bediscovered using any single mode alone,which is the essence of the progress that is possible usinga multimodal approach.

关 键 词：Optical microscopy nonlinear optics MICROSPECTROSCOPY 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]