7 research outputs found
FISSA: A neuropil decontamination toolbox for calcium imaging signals
In vivo calcium imaging has become a method of choice to image neuronal population activity throughout the nervous system. These experiments generate large sequences of images. Their analysis is computationally intensive and typically involves motion correction, image segmentation into regions of interest (ROIs), and extraction of fluorescence traces of each ROI. Out of focus fluorescence from surrounding neuropil and other cells can strongly contaminate the signal assigned to a given ROI. In this study, we introduce the FISSA toolbox (Fast Image Signal Separation Analysis) for neuropil decontamination. Given pre-defined ROIs, the FISSA toolbox automatically extracts the surrounding local neuropil and performs blind-source separation with non-negative matrix factorization. Using both simulated and in vivo data, we show that this toolbox performs similarly or better than existing published methods. FISSA requires only little RAM, allowing for fast processing of large datasets even on a standard laptop. The FISSA toolbox is available in Python, with an option for MATLAB format outputs, and can easily be integrated into existing workflows. It is available from Github and the standard Python repositories
An ex-vivo multiple sclerosis model of inflammatory demyelination using hyperbranched polymer
Multiple sclerosis (MS) is characterized by the presence of inflammatory demyelinating foci throughout the brain and spinal cord, accompanied by axonal and neuronal damage. Although inflammatory processes are thought to underlie the pathological changes, the individual mediators of this damage are unclear. In order to study the role of pro-inflammatory cytokines in demyelination in the central nervous system, we have utilized a hyperbranched poly(2-dimethyl-aminoethylmethacrylate) based non-viral gene transfection system to establish an inflammatory demyelinating model of MS in an ex-vivo environment. The synthesized non-viral gene transfection system was optimized for efficient transfection with minimal cytotoxicity. Organotypic brain slices were then successfully transfected with the TNF or IFNγ genes. TNF and IFNγ expression and release in cerebellar slices via non-viral gene delivery approach resulted in inflammation mediated myelin loss, thus making it a promising ex-vivo approach for studying the underlying mechanisms of demyelination in myelin-related diseases such as MS.</p