top of page

Getting Started with COMET data

Check out some tips on how to start analyzing your Lunaphore COMET data

What should I do first?

The raw data that comes off of the Lunaphore Comet will include autofluorescence images, and possibly secondary only scans of the same piece of tissue. The most common first step in analyzing your data is performing a background subtraction using these images. If you're a Windows user, you can perform this process yourself using Horizon viewer. If you are not a Windows user you can request we provide you with the background subtracted versions of your data. You will want to use the background subtracted data for most applications including visualizing the data as well as marker quantification.

image.png

Available for Download (Windows only)

Python-Based

Background Subtration

Check out on github

What should I do next?

Now that you have a background subtracted image, the next step is normally segmentation. This is normally nuclei based segmentation. Once the nuclei have been segmented, you can predict the cell boundaries, then quantify the pixel intensity of each marker within those cells. 

image.png

Paid subscription available through Biotechne

image.png

Paid use available through the Histology Core

We can help!

We can help segment your samples or you can do the segmentation yourself on your own HPC with these tools

+

Qupath

How do I move into more complex analysis?

Now that you've done some segmentation and quantification you can move to more complex types of analysis like data visualization, as well as clustering, cell type annotation and more complex analyses. 

image.png

Paid subscription available through Biotechne

image.png

Paid use available through the Histology Core

Image and single cell analysis tools in R and Python

©2026 by CSHL Single Cell Core Facility

bottom of page