Clean localization super-resolution microscopy for 3D biological imaging
Data(s) |
2016
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Resumo |
We propose clean localization microscopy (a variant of fPALM) using a molecule filtering technique. Localization imaging involves acquiring a large number of images containing single molecule signatures followed by one-to-one mapping to render a super-resolution image. In principle, this process can be repeated for other z-planes to construct a 3D image. But, single molecules observed from off-focal planes result in false representation of their presence in the focal plane, resulting in incorrect quantification and analysis. We overcome this with a single molecule filtering technique that imposes constraints on the diffraction limited spot size of single molecules in the image plane. Calibration with sub-diffraction size beads puts a natural cutoff on the actual diffraction-limited size of single molecules in the focal plane. This helps in distinguishing beads present in the focal plane from those in the off-focal planes thereby providing an estimate of the single molecules in the focal plane. We study the distribution of actin (labeled with a photoactivatable CAGE 552 dye) in NIH 3T3 mouse fibroblast cells. (C) 2016 Author(s). |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/53364/1/AIP_Jou_6-1_015017_2016.pdf Mondal, Partha P and Curthoys, Nikki M and Hess, Samuel T (2016) Clean localization super-resolution microscopy for 3D biological imaging. In: AIP ADVANCES, 6 (1). |
Publicador |
AMER INST PHYSICS |
Relação |
http://dx.doi.org/10.1063/1.4941075 http://eprints.iisc.ernet.in/53364/ |
Palavras-Chave | #Instrumentation and Applied Physics (Formally ISU) |
Tipo |
Journal Article PeerReviewed |