Eve-SMLM: A Python package for single molecule localization microscopy from event-based sensors
Project description
EVE - General-purpose software for eveSMLM localization
About EVE
EVE is a user-interfaced software package that provides several methods to localize emitters from single molecule localization microscopy (SMLM) experiments performed on event-based sensors (eveSMLM).
For full information about EVE, please look at the corresponding scientific manuscript: "EVE is an open modular data analysis software for event-based localization microscopy" by Laura M. Weber$^‡$, Koen J.A. Martens$^‡$, Clément Cabriel, Joel J. Gates, Manon Albecq, Fredrik Vermeulen, Katharina Hein, Ignacio Izeddin, and Ulrike Endesfelder.
Event-based data differs fundamentally from conventional camera images. Unlike traditional sensors, event-based sensors only capture intensity changes, registering them as either positive (when intensity surpasses a predefined threshold) or negative events (when intensity drops below a predefined threshold). As a result, only a list of x and y pixel coordinate pairs is stored together with the detected event polarities and timestamps.
EVE is designed to quickly and directly process and analyse event-based single molecule data. The event-based data analysis is divided into two main parts:
- Candidate Finding: The complete event-list is searched for characteristic event clusters that are generated by blinking fluorophores. Potential candidate clusters are then extracted and returned for further processing.
- Candidate Fitting: The x,y,(z),t-localization is determined for each candidate cluster.
- Postprocessing and Evaluation: This module includes various analytical routines to process and interpret the data.
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