Skip to main content

Tools to handle Fluidigm IMC data

Project description


Build Status PyPI version

imctools v2.x has many changes in IMC data output format, available CLI commands, dropped Python 2 and Fiji plugins support, etc. If you are using imctools in pre-processing pipelines, please install v1.x version until your pipeline is modified accordingly! We strongly encourage you to migrate to imctools v2.x as all further efforts will be focused on a development of this version.

An IMC file conversion tool that aims to convert IMC raw data files (.mcd, .txt) into an intermediary ome.tiff, containing all the relevant metadata. Further it contains tools to generate simpler TIFF files that can be directly be used as input files for e.g. CellProfiller, Ilastik, Fiji etc.

For a description of the associated segmentation pipline, please visit:

Version 2.x documentation:

Version 1.x documentation (deprecated):


  • MCD lazy data access using memorymaps
  • Full MCD metadata access
  • TXT file loading
  • OME-TIFF loading
  • OME-TIFF/TIFF export (including optional compression)


  • Supports Python 3.7 or newer
  • External dependencies: imagecodecs, pandas, xmltodict, xtiff.


Preferable way to install imctools is via official PyPI registry. Please define package version explicitly in order to avoid incompatibilities between v1.x and v2.x versions:

pip install imctools==2.0.1

In old IMC segmentation pipelines versions 1.x should be used!

pip install imctools==1.0.8

Usage of version 2.x

imctools is often used from Jupyter as part of the pre-processing pipeline, mainly using the converters wrapper functions. Please check the following example as a template.

Further imctools can be directly used as a module:

from import McdParser

fn_mcd = "/home/vitoz/Data/varia/201708_instrument_comp/mcd/"

parser = McdParser(fn_mcd)

# Get original metadata in XML format
xml = parser.get_mcd_xml()

# Get parsed session metadata (i.e. session -> slides -> acquisitions -> channels, panoramas data)
session = parser.session

# Get all acquisition IDs
ids = parser.session.acquisition_ids

# The common class to represent a single IMC acquisition is AcquisitionData class.
# Get acquisition data for acquisition with id 2
ac_data = parser.get_acquisition_data(2)

# imc acquisitions can yield the image data by name (tag), label or index
channel_image1 = ac_data.get_image_by_name('Ir191')
channel_image2 = ac_data.get_image_by_label('Histone_phospho_125((2468))Eu153')
channel_image3 = ac_data.get_image_by_index(7)

# or can be used to save OME-TIFF files
fn_out ='/home/vitoz/temp/test.ome.tiff'
ac_data.save_ome_tiff(fn_out, names=['Ir191', 'Yb172'])

# save multiple standard TIFF files in a folder
ac_data.save_tiffs("/home/anton/tiffs", compression=0, bigtiff=False)

# as the mcd object is using lazy loading memory maps, it needs to be closed
# or used with a context manager.

Usage of previous version 1.x

import as mcdparser
import as txtparser
import as omeparser
import as meta

fn_mcd = '/home/vitoz/Data/varia/201708_instrument_comp/mcd/'

mcd = mcdparser.McdParser(fn_mcd)

# parsed Metadata Access

# a metadata object for comprehensive metadata access
acmeta = mcd.meta.get_object(meta.ACQUISITION, '1')

# The common class to represent a single IMC acquisition is
# The IMC acuqisition class.
# All parser classes have a 'get_imc_acquisition' method
imc_ac = mcd.get_imc_acquisition('1')

# imc acquisitions can yield the image data
image_matrix = imc_ac.get_img_by_metal('Ir191')

# or can be used to save the images using the image writer class
fn_out ='/home/vitoz/temp/test.ome.tiff'
img = imc_ac.get_image_writer(filename=fn_out, metals=['Ir191', 'Yb172'])
img.save_image(mode='ome', compression=0, dtype=None, bigtiff=False)

# as the mcd object is using lazy loading memory maps, it needs to be closed
# or used with a context manager.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for imctools, version 2.0.1
Filename, size File type Python version Upload date Hashes
Filename, size imctools-2.0.1-py3-none-any.whl (44.2 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size imctools-2.0.1.tar.gz (30.5 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page