The 9-megapixel UC90 camera captures it all: brightfield images of superior quality, basic fluorescence applications, and up to 4K UHD acquisition. The DP27 is a 5 megapixel digital camera for microscopy with high-fidelity color reproduction and progressive scanning free from color shift, providing live images with superb quality, seamlessly integrated into the OLYMPUS Stream analysis. The SC50 is a 5 megapixel digital color camera for microscopy that offers outstanding image quality, enhanced sensitivity, and high live frame rates at full resolution.
The select grouping of plugins is geared for neuroscience. Cell Profiler can extract quantitative measurements from thousands of images through a custom pipeline that can first process and then analyze your images. It can quantify antibody fluorescence intensity, colocalization, cell density, or even track cells through time-lapse movies. Give it a try and let me know what you think. If you need to trace the dendritic arbor of a neuron then this is by far the best free open source program that I came across.
It has a comprehensive help manual that will walk you through everything you need to know. It has manual, semi-manual, and automatic tracing modes for complete 3D reconstruction. All-around the program is a breeze to use, and does a fantastic job of automatically tracing through a stack of confocal images based on the fluorescence intensity. You can even find errors in your 3D reconstruction by flipping the trace file and image stack into a different dimension to look for anomalies in the trace, and then easily fix them by dragging the point to the correct location.
It will also perform a quantitative analysis on dendritic spine morphology. It can distinguish between different types, or you can set your own classification parameters. It can perform a basic Sholl Analysis on the dendritic arbor and output branch order data, including spine counts. Analyze a single scan or batch a sample set. Nanofiber porosity and thickness analysis Quantify fiber density, void porosity and fiber thickness distribution.
Crack analysis, identify part defects Quantify additive manufacturing crack density, size distribution, localized density. Fully automated solution for quantifying a single field or an entire surface stitch. Masson's trichrome staining of non-alcoholic fatty liver disease Fully automated identification and quantification of fibrosis and stenosis. Original image by Andrew Romanowski. You can find the Cell profiler manual here.
CellProfiler Analyst software was designed for the exploration of data generated by CellProfiler. It is not an image analysis but data analysis software. Cell profiler analyst can be downloaded here and the tutorials are available here.
BMC Bioinformatics 9 1 Ilastik is an easy-to-use free open source tool which allows users without expertise in image processing to perform segmentation and classification of 2, 3 and 4D images in a unified way. Through a random forest classifier , ilastik learns from labels provided by the user through a convenient GUI. Based on these labels, ilastik applies a problem specific segmentation.
Ilastik supports up to three spatial plus one spectral dimension and makes use of all dimensions in the feature calculation. The program provides real-time feedback that enables the user to interactively r efine the segmentation results on the fly. The program is able to improve the classification based on user feedback. The prediction by the classifier indicates where the classifier may still be wrong. It is shown on an overlay, called uncertainty map, which highlights regions in which the prediction is the most ambiguous.
It guides the user to difficult image regions, where the classifier deems new labels most informative. Download from Leica. Image-Pro Plus supports a wide range of digital cameras, image capture cards, and other devices.
Investigate changes in specimens or materials over time by acquiring images at predefined intervals. Play your time lapse images as a movie to view movement and other activities. Image-Pro Plus offers convenient customization tools and a built-in Macro programming language to streamline your imaging research. Like ImageJ itself, Fiji is an open source project hosted on GitHub , developed and written by the community.