Parsing the numerical output from Sensovation SensoSpot image analysis.
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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.