Naming Convention for images ChannelName_YYYYMMD_Well_PossitionInWell_AcqRun.tiff Naming Convention for results Well_AllResults_YYYY-MM-DD_Results.csv The csv are ‘,’ separated, and automatically named by analysis script. Folder Structure Images (1069 files, as Images.zip) 4H - all images for all wells 24H - all images for all wells Results (36 files) Results_4H (as Results_4h.zip) Results_24H (as Results_24h.zip) Measurement Settings Manufacturer and model of microscope: Olympus IX83 P2ZF Objective lens magnification, NA: 10x Olympus IX3 Nosepiece, LensNA=0.3 Excitation filters (mounted in the light source) Violet: 395/25nm LED module 1, DAPI Green: 555/28nm LED module 5, Cy3 Quad band filter set for DAPI/FITC/Cy3/Cy5 Quad band polychroic mirror (mounted in the filter turret): BP 411-454nm, BP 495-536nm, BP 577-617nm BP 655-810nm Emission filters (mounted in the fast emission filter wheel, infront the camera): DAPI: BP 421-445nm Cy3: BP 581-619nm Illumination light source: Lumencor Lumencor Spectra X Lamp Camera manufacturer and model: Hamamatsu ORCA-Flash4.0 Pixel size: 650nm x 650nm Software program(s) and version: OLYMPUS cellSens Dimension 3.2 (Build 23706) Image acquisition settings expposure 500 ms gain: 0 binning: 4 x 4 Experiment manager: ZDC + autofocus, two channels: DAPI and Cy3 Image Processing and Analysis The data analysis workflow consists of several stages, each of which was executed by a specific script. Firstly, the raw data were manually cleaned and automatically sorted and organized using sort_wells.ijm in FIJI. Secondly, image analysis was performed using Process_WFolder_macro_v05b_otsu.ijm in FIJI, which processed the image data and extracted the relevant features. Finally, the results were further processed using SF_dataVis_and_statistics_mean_XYh.ipynb in Python (Jupyter Notebook), which generated the final output in the form of a CSV file. In this repository, you can access the resulting CSV file, which contains the final results of our analysis. Additionally, we have provided the scripts used to process the data, which are available on our GitHub repository (LINK). You will find instruction how to create local Jupyter Hub for Python scripts. These scripts are accompanied by a short manual that provides an overview of the data analysis workflow and helps users navigate through the code. By making our scripts available, we hope to facilitate transparency and reproducibility of our research. If you encounter any issues, please report then through GitHub repository. We believe that our work can be useful for other researchers and analysts who are interested in studying similar datasets. We invite you to explore the contents of this repository and use the data and scripts provided here to further your research. Cell lines and culture conditions Human cervical adenocarcinoma (HeLa) and a Chinese hamster ovary (CHO-K1) cell lines were obtained from American Type Culture Collection (ATCC). The HeLa cells were grown MEM supplemented with 10 % FBS and NEAA. CHO-K1 cells were cultivated with DMEM supplemented with L-proline (final concentration 35 mg/l). The cell incubation took place in a humidified atmosphere of 5% CO2 at 37 °C. Direct measurement of DNA DSBs The cells were seeded in concentration 0,5 × 105 cells/ml into the 96-well plate (VWR, 10062-900). The cells were rinsed by phosphate buffered saline (PBS;) after 24h incubation, and medium with reduced FBS content (5 %) was added. Valinomycin was dissolved in DMSO and added to cells in two final concentrations (30 and 15 𝞵M). After 4h/24h incubation the visualization was done using and following protocol of HCS DNA Damage Kit. The cells were fixed by 4% paraformaldehyde solution for 15 min at room temperature. The cells were rinsed once by PBS and the permeabilization was performed using Triton® X-100 () solution by incubation for 15 min at room temperature. The wells were rinsed with PBS once and the plate was blocked by 1% BSA blocking solution. After 1 hour incubation at room temperature the blocking solution was removed and 100 𝞵l of pH2AX mouse monoclonal antibody solution (1:1000 in BSA) was pipetted into each well incubated for 1 hour at room temperature. After three times rinsing by PBS the 100 𝞵l of Alexa Fluor® 555 goat anti-mouse IgG (H+L; 1:2000) and Hoechst 33342 (1:6000) solution was incubated for 1 hour at room temperature protected from light. After the incubation the wells were rinsed three times by PBS. The plate was stored with 100 𝞵l in the refrigerator (4 °C) until the image analysis was performed.