Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-15813-1_11
DC FieldValue
dc.titleImage formation and analysis of coherent microscopy and beyond - toward better imaging and phase recovery
dc.contributor.authorKou, S.S.
dc.contributor.authorMehta, S.B.
dc.contributor.authorRehman, S.
dc.contributor.authorSheppard, C.J.R.
dc.date.accessioned2014-06-17T09:44:20Z
dc.date.available2014-06-17T09:44:20Z
dc.date.issued2011
dc.identifier.citationKou, S.S.,Mehta, S.B.,Rehman, S.,Sheppard, C.J.R. (2011). Image formation and analysis of coherent microscopy and beyond - toward better imaging and phase recovery. Springer Series in Surface Sciences 46 (1) : 295-327. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-15813-1_11" target="_blank">https://doi.org/10.1007/978-3-642-15813-1_11</a>
dc.identifier.isbn9783642158124
dc.identifier.issn09315195
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/67092
dc.description.abstractApplications of phase microscopy based on either coherent or partially coherent sources are widely distributed in today's biological and biomedical research laboratories. But the quantitative phase information derivable from these techniques is often not fully understood, because in general, no universal theoretical model can be set up, and each of the techniques has to be treated specifically. This chapter is dedicated to the fundamental understanding of the methodologies that derive optical phase information using imaging techniques and microscopic instrumentation. Several of the latest and most significant techniques are thoroughly studied through the theoretical formalism of the optical transfer function. In particular, we classify these systems into two main categories: those based on coherent illumination, such as digital holographic microscopy (DHM) and its extension into tomography, and those based on partially coherent illumination, such as differential interference contrast (DIC) and differential phase contrast (DPC). Our intention is that the models described in this chapter give an insight into the behaviour of these phase imaging techniques, so that better instrumentation can be designed and improved phase retrieval algorithms can be devised. © Springer-Verlag Berlin Heidelberg 2011.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-15813-1_11
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentBIOENGINEERING
dc.description.doi10.1007/978-3-642-15813-1_11
dc.description.sourcetitleSpringer Series in Surface Sciences
dc.description.volume46
dc.description.issue1
dc.description.page295-327
dc.identifier.isiutNOT_IN_WOS
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