Convallaria Photon Counting Dataset (Conv-PC)

Data was recorded from a Convallaria majalis rhizome section sample slide at a Leica TCS SP8 TPE DIVE with FALCON and the HC PL IRAPO 25x dipping objective. We used 850 nm excitation at 1% laser power, HyD-RLD detector, emission range of 600 – 650 nm, pixel size 0.6 x 0.6 µm, an 8 MHz resonant scanner and 4x averaging.We imaged 5 fields of view (FOVs), each containing 512x512x2048 voxels (xyt). Four FOVs were used as training data for supervised denoising, and the fifth FOV was used as test data.We used a time binning of 4, resulting in datasets of 512x512x512 voxels, and named these low-SNR raw data 'trainingData.tif' and 'testData.tif' respectively.Furthermore, we summed these 512 frames to produce the high SNR ('ground truth') version and named it 'trainingDataGT.tif' and 'testDataGT.tif'.Each frame of the raw data contains a significant amount of image noise. All voxel values correspond to photon counts.