# ./fluorescence

## Analsis script (calibrate_data.py)
* Python >3.5
* Python modules: PIL/Pillow, numpy, matplotlib

## /colour_calibration
* JPEG including raw bayer data for R, B, G, K, and W illumination with no sample

## /data
* Fluorescence images, containing both originals and colour calibrated data

# ./fov_measurements

## Analysis script (run_analysis.sh)
Rquires Python 3 and a global installation of the Python library `micat`, https://gitlab.com/bath_open_instrumentation_group/micat

# ./illumination_na_measurement

PDF containing method, data, and analysis of transmission illumination NA measurements

# ./noise_data

Long and short exposure images in a dark environment, used for background noise measurements.

## Analysis script
`test.py` requires Python 3, numpy, and picamraw modules

# ./polarisation_contrast

Images obtained in polarisation-contrast mode

# ./preliminary_fluorescence_background_measurement

Preliminary background analsis for fluorescence imaging mode.

## Analsis script (analyse.py)
* Python >3.5
* Python modules: PIL/Pillow, numpy, matplotlib

# ./psf_measurement

Point-spread-function measurements used for microscope resolution quantification

## Analsis script (analyse_edge_image.py)
* Python >3.5
* Python modules: PIL/Pillow, numpy, matplotlib

# ./reflection_illumination

Images obtained in bright-field epi-illumination imaging mode

# ./tiled_scan

Images, and Microsoft Image Composite Editor stitching file, for a tiled blood smear image

# ./transmission_illunination

Thin blood smear image of stained blood cells obtained in bright-field trans-illumination imaging mode