Quantifying distribution of particles on an image

[sjmd16]

Hi everyone,

I have some questions about the different approaches used by the community to quantify distribution of particles in an image. I'm currently using the Cell Counter feature to mark a number of different types of particles. It generates a set of xy coordinates, which I then use for a nearest neighbor analysis in a separate program. Unfortunately, the nearest neighbor analysis can sometimes be misleading since some of these particles are clustered.

1) What other methods are used by the community to quantify distribution of particles?
     (I'm currently looking into quantitative stereology as a more effective means to quantify distribution.
     Has anyone used ImageJ for this kind of study?)

2) Can anyone suggest any plug-ins I should try regarding distribution analysis in ImageJ?

Apologies in advance if this is a question that has been repeated. Any help would be much appreciated.

Cheers,

Sid

[Vitali Khvatkov-2]

As far as we know, there is no standard method for dispersion
characterization (I assume dispersion is what you mean by distribution)
We had to develop own methodology for nano-dispersion characterization
together with NASA and Rick Smalley Institute at Rice University.
You see information here http://smartimtech.com/nanodispersion.htm

Our dispersion characterization App is not based on ImageJ, but you can see
the logic and approach from workshop slides. ImageJ toolset should be
sufficient to make similar solution.

Regards,

Vitali Khvatkov
Smart Imaging Technologies Co.
1770 Saint James Place, suite 414 Houston, TX 77056, USA

www.live.simagis.com



-----Original Message-----
From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of sjmd16
Sent: Monday, October 24, 2011 7:28 AM
To: [hidden email]
Subject: Quantifying distribution of particles on an image

Hi everyone,

I have some questions about the different approaches used by the community
to quantify distribution of particles in an image. I'm currently using the
Cell Counter feature to mark a number of different types of particles. It
generates a set of xy coordinates, which I then use for a nearest neighbor
analysis in a separate program. Unfortunately, the nearest neighbor analysis
can sometimes be misleading since some of these particles are clustered.

1) What other methods are used by the community to quantify distribution of
particles?
     (I'm currently looking into quantitative stereology as a more effective
means to quantify distribution.
     Has anyone used ImageJ for this kind of study?)

2) Can anyone suggest any plug-ins I should try regarding distribution
analysis in ImageJ?

Apologies in advance if this is a question that has been repeated. Any help
would be much appreciated.

Cheers,

Sid

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