Sensospot Data Parser
=====================

Parsing the numerical output from Sensovation Sensospot image analysis.

## Example:

```python

    import sensospot_data

    # read the raw data of a folder
    raw_data = sensospot_data.process_folder(<path to results directory>)

    # split the measurement according to channels
    channels = sensospot_data.split_channels(raw_data [, optional_exposure_map])

    # normalize one channel to a specific exposure time
    cy5_normalized = sensospot_data.normalize_channel(channels["cy5"], normalized_time=25)
```


## Development

To install the development version of Sensovation Data Parser:

    git clone https://git.cpi.imtek.uni-freiburg.de/holgi/sensospot_data.git

    # create a virtual environment and install all required dev dependencies
    cd sensospot_data
    make devenv

To run the tests, use `make tests` (failing on first error) or `make coverage` for a complete report.