Table 1 Principal co-localisation index

From: Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics

Name

Type

Statistics

Pros

Cons

References

Pearson Correlation Coefficient (PCC)

Correlation

Pixel scrambling or Analytics

Easy to use; Works with any type of signal (diffuse, spotty, filaments…)

Depends on microscope resolution; Does not apply to localisation-based microscopy; Hardly interpretable in terms of spots’ coupling

4,5,11

Cross-Correlation Spectroscopy

Correlation

Pixel scrambling or Analytics

Easily interpretable; Works with any type of signal

Depends on microscope resolution; Does not apply to localisation-based microscopy; Sensitive to local variations of intensity

65,66

DeBias

Correlation

Pixel scrambling

Allows to separate global bias from local interactions; Works with any type of signal

Depends on microscope resolution; Does not apply to localisation-based microscopy

67

Manders Overlap Coefficient (MOC)

Overlap

Spots’ randomisation or Analytics (for ideal disk-shape spots68)

Easily interpretable; Works with any type of signal

Depends on microscope resolution; Does not apply to localisation-based microscopy; Randomisation can be computationally expensive

3,6,12

Thresholded Overlap (TO)

Overlap

Spots’ randomisation or Analytics (for ideal disk-shape spots69)

Same as MOC, Possible selection of individual coupled spots with thresholded-overlap

Same as MOC, one more tunable parameter (threshold)

8

Mass-centre inside Mask (MM)

Distance-based (1st order, measures the density of (red) points in (green) masks)

Analytics

Same as TO

Depends on microscope resolution; Does not apply to localisation-based microscopy

3

Distance to Nearest-Neighbour (NN)

Distance-based (2nd order, measures the distance between neighbours)

localisations’ randomisation

Does not depend on microscope resolution; Apply to localisation-based microscope

Global index (interaction strength15 or False Discovery Rate10) hardly interpretable in terms of coupling; Apply to spotty objects only

10,15

Co-clustering of localisations

Correlation between localisations’ clusters

localisations’ randomisation

Apply to localisation-based microscopy

Hardly interpretable in terms of coupling; Not robust to mean coupling distance >0

55,56

SODA

Distance-based (2nd order)

Analytics

Same as NN; Statistical mapping of individual couples of objects (spots, localisations)

Apply to spotty objects only

This study