READ ME File For "Selective Laser Cleaning of Microbeads using Deep Learning" Dataset DOI: 10.5258/SOTON/D3208 Date that the file was created: September, 2024 ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Yuchen Liu, University of Southampton [0009-0008-3636-1779] Date of data collection: June 10 2024 to June 26 2024 Information about geographic location of data collection: Lab 3063, Building 46, University of Southampton -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: CC-BY This dataset supports the publication: AUTHORS: Yuchen Liu, James A. Grant-Jacob, Yunhui Xie, Fedor Chernikov, Michalis N. Zervas, and Ben Mills TITLE: Selective Laser Cleaning of Microbeads using Deep Learning JOURNAL: Scientific Reports -------------------- DATA & FILE OVERVIEW -------------------- This dataset contains 2 main folders, one for Figures and one for Numerical Data: root/dataset/ ├── Figures/ │ ├── figure 1.png │ ├── figure 2.png │ ├── figure 3.png │ ├── figure 4.png │ ├── figure 5.png │ ├── figure 6.png │ ├── SM figure 1.png │ ├── SM figure 2.png │ ├── SM figure 3.png │ └── SM figure 4.png ├── Numerical Data/ │ ├── Fig 2c/ │ │ ├── num_of_removed_BA.npy │ │ └── num_of_removed_BG.npy │ ├── Fig 5b/ │ │ ├── fig5 b_i_iii.npy │ │ └──fig5 b_ii.npy │ ├── Fig 6/ │ │ ├── fig6 a.npy │ │ ├── fig6 b.npy │ │ └──fig5 b_ii.npy │ ├── SM Table 1/ │ │ └── SM Table 1.csv │ ├── SM Table 2/ │ │ └── SM Table 2.csv │ └── SM Table 3/ │ └── SM Table 3.csv └── README.txt 1. Figures This folder includes all the figures inside the publication, which named in "'figure 1.png', 'figure 2.png', 'figure 3.png', 'figure 4.png','figure 5.png', 'figure 6.png'". The graphics denoted as SM figure 1 to SM figure 4 cited within the supplementary materials of the scholarly publication, are accessible under the file name 'SM figure 1.png', 'SM figure 2.png', 'SM figure 3.png', 'SM figure 4.png'. 2. Numerical data This folder includes six sub-folders named in "'Fig 2c', 'Fig 5b', 'Fig 6', 'SM Table 1', 'SM Table 2', 'SM Table 3'", the first three are used to plot corresponding figure respectively, while the last three, including their corresponding .csv files, form the tables in the supplementary file. (a) In 'Fig 2c' folder, there are two NPY files, one named 'num_of_removed_BA.npy' indicates number of removed microbead based on the real before/after laser pulse images; the other named 'num_of_removed_BG.npy' indicates number of removed microbead based on the real before/generated-after laser pulse images. These two files are used to plot the confusion matrix in Figure 2c. Each NPY file shape in (600,), can be load with 'numpy.load(NPY_file)' in python. (b) In 'Fig 5b' folder, there are two NPY files, one named 'fig5_b_i_iii.npy' is used to draw the subplots (i) and (iii) in Figure 5b, the other named 'fig5_b_ii.npy' is used to draw the subplot (ii) in Figure 5b. - The shape of 'fig5_b_i_iii.npy' is (68,4), containing 4 columns, which indicate number of microbeads remained in experiment, number of microbeads removed in experiment, number of microbeads remained in simulation, number of microbeads removed in simulation from initial state to after total 67 laser pulses respectively. - The shape of 'fig5_b_ii.npy' is (8,3), containing 3 columns, which indicate different number of removed microbeads (8 different possible states), frequency of corresponding number of microbeads removal in experiment and simulation respectively. (c) In 'Fig 6' folder, there are two NPY files, one named 'fig5_a.npy' is used to draw the Figure 6a, the other named 'fig6_b.npy' is used to draw the Figure 5b. - The shape of 'fig6_a.npy' is (67,3), containing 3 columns, which indicate the XY coordinates of each laser pulse and number of microbeads are removed in experiment. - The shape of 'fig6_b.npy' is (67,3), containing 3 columns, which indicate the XY coordinates of each laser pulse and number of microbeads are removed in simulation. (d) In 'SM Table 1', there is one CSV file in the folder, with the same name of the folder. - The shape of 'fig6_a.npy' is (6,5), containing 3 columns, which indicate the comparison of 4 type of laser cleaning method in 'pulse duration, precision, speed, cleaning scale, energy efficiency' aspects, they are 'Continuous wave laser, Nanosecond pulsed laser, Laser-induced plasma/shockwave, Selective laser cleaning with deep learning' (e) In 'SM Table 2', there is one CSV file in the folder, with the same name of the folder. - The shape of 'fig6_a.npy' is (53,4), containing 3 columns, which indicate the number of layer used in generator, image layer, image properties and specification of the layer. (f) In 'SM Table 3', there is one CSV file in the folder, with the same name of the folder. - The shape of 'fig6_a.npy' is (13,4), containing 3 columns, which indicate the number of layer used in discriminator, image layer, image properties and specification of the layer. -------------------------- METHODOLOGICAL INFORMATION -------------------------- The detailed methods used for collection and generation of data are demonstrated in "Selective Laser Cleaning of Microbeads using Deep Learning". -------------------------- DATA-SPECIFIC INFORMATION -------------------------- 1. Fig 2c Number of variables: 600 Number of cases/rows: 600 rows, 1 column Variable list, defining any abbreviations, units of measure, codes or symbols used: not applicable 2. Fig 5b (a) Number of variables: 68x4 Number of cases/rows: 68 rows, 4 columns Variable list, defining any abbreviations, units of measure, codes or symbols used: Variable list: (0-initial status, 1-first laser pulse, ...) ────────────────────────────── experiment|experiment|simulation|simulation remain | remove | remain |remove ────────────────────────────── 0 | 291 | 0 | 291 | 0 ────────────────────────────── 1 | 289 | 2 | 287 | 4 ────────────────────────────── 2 | ……… | ────────────────────────────── 69 | 163 | 0 | 159 | 0 ────────────────────────────── (b) Number of variables: 8x3 Number of cases/rows: 8 rows, 3 columns Variable list, defining any abbreviations, units of measure, codes or symbols used: (0-no microbead is removed, 1-one microbead is removed, ...) ──────────────────────── number of |frequency | frequency microbead | of | of removed |experiment| simulation ──────────────────────── 0 | 19 | 16 ──────────────────────── 1 | 25 | 24 ──────────────────────── 2 | ……… | ──────────────────────── 7 | 1 | 0 ──────────────────────── 3. Fig 6 Number of variables: 67x3 Number of cases/rows: 67 rows, 3 columns Variable list, defining any abbreviations, units of measure, codes or symbols used: Variable list: Experiment: ─────────────────────────────────────── x coordinate|y coordinate|number of removed microbeads ─────────────────────────────────────── 1 | 1061 | 958 | 2 ─────────────────────────────────────── 2 | 831 | 604 | 7 ─────────────────────────────────────── | ……… | ─────────────────────────────────────── 67| 900 | 900 | 0 ─────────────────────────────────────── Simulation: ─────────────────────────────────────── x coordinate|y coordinate|number of removed microbeads ─────────────────────────────────────── 1 | 1073 | 958 | 4 ─────────────────────────────────────── 2 | 863 | 602 | 3 ─────────────────────────────────────── | ……… | ─────────────────────────────────────── 67| 994 | 699 | 0 ─────────────────────────────────────── units: pixel (from 0 to 1800 px for both vertical and horizontal) for the XY coordinates.