Cell CDX

Cell CDX is a new Integrated Toolkit for Ca2+ Imaging developed by Nicholas Mellen and Explora Nova.


Please see bellow the description of the functions.



• Watch, Write or Play back datasets using a compact interface
• DAQ-card triggers image capture and illumination to:
– precisely control image-to-voltage sampling interval
– minimize photobleaching
• Real-time luminance histogram permits rapid signal optimization
• Differenced image streaming permits signal detection by eye
• Import ROIs from Ca2+ imaging onto streaming DIC video to:
– profile biophysical properties
– map connections by stimulating cell while recording optically
• Compatible with CameraLink, Firewire, or USB compliant cameras
• Customizable to existing hardware


• Designed to rapidly analyze the activity of neuronal networks
• Semi-automated detection of somatic Ca2+ signals
• ROI editing tools to merge, split, add or delete ROIs
• Wide range of spatial filters and thresholding to:
– detect weak and/or sparse signals
– adjust to the spatial resolution of images
• Robust performance at low (2 Hz) or high (>50 Hz) sampling rates
• Performance degrades gracefully as noise increases
• Compatible with all image types
• Data are stored in FluoFile archive format:
– integrates spatial and temporal data components
– permits data collation using stored anatomical landmarks
– can be saved in compact binary or transportable XML formats



• Non-destructive Ca2+ signal filtering without phase distortion
• Sophisticated peak detection
• Selection / extraction of data subsets by trace or ROI group
• Burst or spike-triggered averaging of Ca2+ signals off voltage trace peaks
• Reads and edits FluoFile data
• Exports voltage and Ca2+ signals, raster plots of peaks, and averaged
data to Excel or ASCII files.
• Exports ROI outlines and tissue image in TIF format


Nicholas M. Mellen and Chi-Minh Tuong, 2009 NeuroImage, Volume 47, Issue 4, 1 October 2009, Pages 1331-1340
Semi-automated region of interest generation for the analysis of optically recorded neuronal activity