Abstract
Centroiding in photon counting imaging has traditionally been accomplished by a single-step, noniterative algorithm, often implemented in hardware. Single-molecule localization techniques in superresolution fluorescence microscopy are conceptually similar, but use more sophisticated iterative software-based fitting algorithms to localize the fluorophore. Here, we discuss common features and differences between single-molecule localization and photon counting imaging and investigate the suitability of single-molecule localization software for photon event localization. We find that single-molecule localization software packages designed for superresolution microscopy—QuickPALM, rapidSTORM, and ThunderSTORM—can work well when applied to photon counting imaging with a microchannel-plate-based intensified camera system: photon event recognition can be excellent, fixed pattern noise can be low, and the microchannel plate pores can easily be resolved.
| Original language | English |
|---|---|
| Pages (from-to) | 5074-5082 |
| Number of pages | 9 |
| Journal | Applied Optics |
| Volume | 54 |
| Issue number | 16 |
| DOIs | |
| Publication status | Published - 1 Jun 2015 |