1. Code development in Python

The completed code is shown below

import cv2
import numpy as np

#1)Load the image
loadedimage = cv2.imread('volumetricflask.png')

if loadedimage is None:
    print("There is no image with the specified name")
else:
#2) Adjust the image size
    escala = 0.5  

    new_width = int(loadedimage.shape[1] * escala)
    new_height = int(loadedimage.shape[0] * escala)

    new_size = (new_width, new_height)
    resizedimage = cv2.resize(loadedimage, new_size)

   #3) Black and white image
    grayimage = cv2.cvtColor(resizedimage, cv2.COLOR_BGR2GRAY)

    #4) White image
    margen = 60  
    height, width = grayimage.shape
    canvas_height = height + 2 * margen
    canvas_width = width + 2 * margen

#5) Dotimage
    dotimage = np.ones((canvas_height, canvas_width, 1), dtype=np.uint8) * 255  
 
#6) Center of image
    centro_x = canvas_width // 2
    centro_y = canvas_height // 2

    dotradius = 3  

    for y in range(0, height, 10):  
        for x in range(0, width, 10):  
            pixel_value = grayimage[y, x]
            dotcolor = (0, 0, 0) if pixel_value < 100 else (255, 255, 255)
            cv2.circle(dotimage, (x + margen, y + margen), dotradius, dotcolor, -1)
#7) Image axes
 
    blackoutline = (0, 0, 0)  
    cv2.line(dotimage, (margen, canvas_height - margen), (canvas_width - margen, canvas_height - margen), blackoutline, 2)  
    cv2.line(dotimage, (margen, margen), (margen, canvas_height - margen), blackoutline, 2)  

    spacing = 50  
    font = cv2.FONT_HERSHEY_SIMPLEX  
 
    for x in range(margen, canvas_width - margen, spacing):
        valor_x = x - centro_x  
        cv2.line(dotimage, (x, canvas_height - margen - 5), (x, canvas_height - margen), blackoutline, 1)  
        cv2.putText(dotimage, str(valor_x), (x - 10, canvas_height - margen + 20), font, 0.5, blackoutline, 1)

    for y in range(margen, canvas_height - margen, spacing):
        valor_y = centro_y - y  
        cv2.line(dotimage, (margen - 5, y), (margen, y), blackoutline, 1)  
        cv2.putText(dotimage, str(valor_y), (margen - 40, y + 5), font, 0.5, blackoutline, 1)

    cv2.putText(dotimage, "0", (centro_x - 10, canvas_height - margen + 20), font, 0.6, blackoutline, 2)  # Correcto en el eje X
    cv2.putText(dotimage, "0", (margen - 25, centro_y + 5), font, 0.6, blackoutline, 2)  # Correcto en el eje Y

    borderthickness = 2
    cv2.rectangle(dotimage, (margen, margen), (canvas_width - margen - 1, canvas_height - margen - 1), blackoutline, borderthickness)

#8) Save image
    cv2.imwrite('Dotimagepaulromero.png', dotimage)

#9) Show image
    cv2.imshow('Dotimage', dotimage)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

The generated dot images are shown below

Volumetric Flask

Animated bacteria

import cv2
import numpy as np

#1)Load the image
loadedimage = cv2.imread('bacteria.png')

if loadedimage is None:
    print("There is no image with the specified name")
else:
#2) Adjust the image size
    escala = 0.5  

    new_width = int(loadedimage.shape[1] * escala)
    new_height = int(loadedimage.shape[0] * escala)

    new_size = (new_width, new_height)
    resizedimage = cv2.resize(loadedimage, new_size)

   #3) Black and white image
    grayimage = cv2.cvtColor(resizedimage, cv2.COLOR_BGR2GRAY)

    #4) White image
    margen = 60  
    height, width = grayimage.shape
    canvas_height = height + 2 * margen
    canvas_width = width + 2 * margen

#5) Dotimage
    dotimage = np.ones((canvas_height, canvas_width, 1), dtype=np.uint8) * 255  
 
#6) Center of image
    centro_x = canvas_width // 2
    centro_y = canvas_height // 2

    dotradius = 3  

    for y in range(0, height, 10):  
        for x in range(0, width, 10):  
            pixel_value = grayimage[y, x]
            dotcolor = (0, 0, 0) if pixel_value < 130 else (255, 255, 255)
            cv2.circle(dotimage, (x + margen, y + margen), dotradius, dotcolor, -1)
#7) Image axes
 
    blackoutline = (0, 0, 0)  
    cv2.line(dotimage, (margen, canvas_height - margen), (canvas_width - margen, canvas_height - margen), blackoutline, 2)  
    cv2.line(dotimage, (margen, margen), (margen, canvas_height - margen), blackoutline, 2)  

    spacing = 50  
    font = cv2.FONT_HERSHEY_SIMPLEX  
 
    for x in range(margen, canvas_width - margen, spacing):
        valor_x = x - centro_x  
        cv2.line(dotimage, (x, canvas_height - margen - 5), (x, canvas_height - margen), blackoutline, 1)  
        cv2.putText(dotimage, str(valor_x), (x - 10, canvas_height - margen + 20), font, 0.5, blackoutline, 1)

    for y in range(margen, canvas_height - margen, spacing):
        valor_y = centro_y - y  
        cv2.line(dotimage, (margen - 5, y), (margen, y), blackoutline, 1)  
        cv2.putText(dotimage, str(valor_y), (margen - 40, y + 5), font, 0.5, blackoutline, 1)

    cv2.putText(dotimage, "0", (centro_x - 10, canvas_height - margen + 20), font, 0.6, blackoutline, 2)  # Correcto en el eje X
    cv2.putText(dotimage, "0", (margen - 25, centro_y + 5), font, 0.6, blackoutline, 2)  # Correcto en el eje Y

    borderthickness = 2
    cv2.rectangle(dotimage, (margen, margen), (canvas_width - margen - 1, canvas_height - margen - 1), blackoutline, borderthickness)

#8) Save image
    cv2.imwrite('Dotimagepaulromero.png', dotimage)

#9) Show image
    cv2.imshow('Dotimage', dotimage)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

1. Obtaining the dot image with Image Converter

1. Execute a program called LabRobot en Python

When I executed a program called LabRobot in Python and adjusted the dot image, I got the following result

dotarray.npy