Michael Graupner has coded a nice program for browsing and managing hdf5 files (closely related to MATLAB files) called hdf5Manager. And it’s open source.
Following up SIMA, which has been covered here before: The SIMA team has released a new version of its toolbox that includes a spike inference algorithm developed by Eftychios Pnevmatikakis and Liam Paninski’s group. This approach permits the efficient estimation of the most likely spike train underlying a sequence of calcium imaging observations. The new
Carson Chow recently shared his post-MATLAB suite of programming tools, and it involves RStudio, which is open-source. “I had planned to replace Matlab with Python, Julia, and R but I have found that R and Julia have been sufficient for my requirements.” It’s a nice environment and something to try if you’re looking for an
Embrio isn’t completely open. They want to sell $50 licenses. Let’s get that out of the way first. However, it is an interesting alternative for programming Arduino hardware. It’s a visual programming environment, like LabVIEW. In some ways, it is richer than LabVIEW, and perhaps more comparable to MAX in that variable values can be
Jeremy Freeman and his lab are developing tools for analyzing data using a workflow that is fundamentally more scalable not only in terms of computing power and data set size, but also in collaboration and sharing. The one-person, one-machine approach to data analysis can be highly efficient, but collaboration and scaling up computational power can
Dylan Muir and Bjorn Kampa created some MATLAB code for two-photon calcium imaging experiments. First up is FocusStack, which provides a suite of analysis tools. Next up is StimServer, which coordinates visual stimulus generation and presentation. The paper is open access. In particular, Dylan’s MATLAB functions MappedTensor and TIFFStack are worth checking out. Both provide
SIMA has recently been updated (here’s the original Labrigger post): From the SIMA team: We have recently released updated versions of the SIMA & ROI Buddy tools for analysis of calcium imaging data (motion correction, segmentation, registration of ROIs across different imaging sessions, signal extraction). These new versions now support 3D datasets, allowing for analysis
NES, from NeuroMat, is an open-source tool to manage clinical data gathered in hospitals and research institutions. Here’s their github link. More info from the lab.
Getting nice figures out of MATLAB can be a challenge. Sometimes it’s fine, but if you’ve hit upon a figure that simply isn’t exporting nicely (bad vector rendering, lost transparency, etc.), check out the export_fig project on Undocumented MATLAB.
Ultrafast pulses are formed through interference of different wavelengths of light. Think of Fourier transforms, and how pulses can be generated through constructive and destructive interference of wavelengths with aligned phases. These wavelengths are close to the center wavelength, and spread over a wavelength bandwidth. Shorter pulses require wider bandwidths, and the product of pulse
Andrew Giessel wrote some analysis code in Python when he worked in the Datta lab. He has since moved on to another venture, but he open-sourced the code. There are import routines for data from ScanImage and Ephus, but the majority of the code is acquisition platform agnostic. It’s called d_code.
George McNamara recently posted a comment on spectra, which referenced this online app which is handy.
UNC-Chapel Hill’s Computer Integrated Systems for Microscopy and Manipulation team released a new version of their popular ImageSurfer software. All 64-bit, with versions for Linux, OSX, and Windows.
Parula is the new default colormap for MATLAB (namesake above, actual map below). It probably collapses to grey better than jet (which is good for colorblind readers). You aficionados care dearly about LUTs, as does Labrigger. Share your preferences in the comments. Do you prefer MATLAB’s jet colormap? ImageJ’s “Hot” LUTs (e.g., Green Hot, Cyan
(This post by the SIMA Team.) The SIMA (Sequential IMage Analysis) package facilitates analysis of time-series imaging data arising from fluorescence microscopy. The functionality of this package includes: – correction of motion artifacts – segmentation of imaging fields into regions of interest (ROIs) – extraction of dynamic signals from ROIs The included ROI Buddy software
- Analysis algorithms: performance quantification and ground truth on
- Laser pointers and quantum mechanics on
- Pixy for easy Arduino machine vision on
- Constrained non-negative matrix factorization for calcium imaging data analysis on
- Series resistance in patch clamp experiments on
- Checking PMT performance over time on
- GCaMP6 reporter mice on
- GCaMP6 reporter mice on
- Open source intrinsic imaging on
- GCaMP6 reporter mice on
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