photo-switching noise

This project is maintained by bkcooper in the York lab, and was funded by Calico Life Sciences LLC

(in-progress) Research article

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Photoswitching noise distorts all fluorescent images

Benjamin K. Cooper1* and Andrew G. York1†

1Calico Life Sciences LLC, South San Francisco, CA 94080, USA

*Email: bkcooper@calicolabs.com Institutional email: agy+psn@calicolabs.com; Permanent email: andrew.g.york+psn@gmail.com; Group website: andrewgyork.github.io

Abstract

This research article is a work in progress - please check back in with us regularly to see updates. Currently, it contains only:

Peer review status

Work-in-progress first published April 17, 2019 (This article is not yet peer-reviewed)

Cite as: doi:10.5281/zenodo.3689593

Focus on Microscopy 2019 - Abstract

PHOTOSWITCHING NOISE DISTORTS ALL FLUORESCENT IMAGES

It is well known that fluorescence image quality is limited by the presence of Poisson shot noise in photoemissions. What is often ignored is that stochastic fluctuations in fluorophore behavior (such as photobleaching, deactivation, or blinking) also manifest as image noise. Since these dynamics are ubiquitous, this additional noise source applies to essentially all fluorescence images. Unlike Poisson noise, photoswitching noise is not spectrally white and may be easily misinterpreted as signal (Figure 1). Using photobleaching as a concrete example, we show that while longer exposure times decrease the influence of Poisson noise, they strengthen the influence of photobleaching noise. Thus lengthening exposure time past a critical (and often surprisingly small) value actually degrades image quality. We derive where this crossover occurs for photobleaching noise and find a simple heuristic for the ideal exposure time. This rule of thumb depends only on the number of detected photoelectrons a typical fluorophore yields before bleaching, allowing easy practical recommendations for optimizing exposure. We discuss implications for advanced fluorescence imaging modalities such as STED or RESOLFT.

Figure 1
Figure 1: (center panel) an ideal noiseless measurement; on the sides are images corrupted by (left panel) Poisson and (right panel) photobleaching noise.