skip to navigation
skip to content

small-particle-detection 0.0.3

Small Particle Detection, a shapes library-based object detector.

SPADE: Small PArticle DEtection

An algorithm primarily design to detect objects whose sizes aren’t larger a few pixels (particles) on fluorescence microscopy images.

It is an simplified version of marked point process.


SPADE has only been tested with Python 3.5 but should work with older versions. The only strict requirement is the package numpy. In order to use SPADE to its full extent, we recommend installing the scikit-image package and the full scipy ecosystem.


In a python script

You can install the package using PIP. The main function, spade2d, is in the spade.detection_2d module. It takes an image, a shapes library and a threshold as input. A typical usage would look like like

from import imread, imshow
from skimage.filters import threshold_otsu
from skimage.color import label2rgb
from numpy import percentile
import matplotlib.pyplot as plt

from spade.detection_2d import spade2d
from spade.shapes.examples import potatoids5x5_smallest4px

# Load the example image.
image = imread("example_2d.png")

# Separate cell image from background, using by Otsu's thresholding method.
cell = image > threshold_otsu(image)

# Focus on brightest pixels only
potential_centers = image > percentile(image[cell], 99)

# Detect particles.
particles = spade2d(image=image,

# Show detected particles as overlay on our original image.
imshow(label2rgb(particles, image, bg_label=0))

See the examples in the example folder of the source dist for more information. Note that matplotlib and skimage are not required for SPADE to work.

From the command line

Also provided is a command line interface, that can be used as following:

python -m spade.cli INPUT_IMAGE THRESHOLD -o /path/to/output_image.png

Launch this command with -h for more information on its usage.

Authors & Acknowledgments

SPADE was developed by Nicolas Cedilnik, Éric Debreuve and Xavier Descombes at the MORPHEME team.

If you use SPADE for your scientific work, please include this bibtex (or equivalent) entry:

  title={SPADE: Small particle detection}
  author={Cedilnik, Nicolas and Debreuve, Éric and Descombes, Xavier}


SPADE is released under the CeCILL-2.1 licence.

File Type Py Version Uploaded on Size
small-particle-detection-0.0.3.tar.gz (md5) Source 2017-09-07 89KB