eve-SMLM
## 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:<br>
1. **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.<br>
2. **Candidate Fitting:** The x,y,(z),t-localization is determined for each candidate cluster.<br>
3. **Postprocessing and Evaluation:** This module includes various analytical routines to process and interpret the data.<br>
Raw data
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"description": "## EVE - General-purpose software for eveSMLM localization\r\n\r\n## About EVE\r\nEVE 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).\r\n\r\nFor 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$^\u2021$, Koen J.A. Martens$^\u2021$, Cl\u00e9ment Cabriel, Joel J. Gates, Manon Albecq, Fredrik Vermeulen, Katharina Hein, Ignacio Izeddin, and Ulrike Endesfelder.\r\n\r\nEvent-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.\r\n\r\nEVE 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:<br> \r\n1. **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.<br> \r\n2. **Candidate Fitting:** The x,y,(z),t-localization is determined for each candidate cluster.<br> \r\n3. **Postprocessing and Evaluation:** This module includes various analytical routines to process and interpret the data.<br> \r\n\r\n",
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