RS-FISH: precise, interactive, fast, and scalable FISH spot detection.

Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic and epigenetic information from biological samples by detecting fluorescent spots in microscopy images, an often challenging task. We present Radial Symmetry-FISH (RS-FISH), an accurate, fast, and user-friendly software for spot detection in two- and three-dimensional images. RS-FISH offers interactive parameter tuning and readily scales to large datasets and image volumes of cleared or expanded samples using distributed processing on workstations, clusters, or the cloud. RS-FISH maintains high detection accuracy and low localization error across a wide range of signal-to-noise ratios, a key feature for single-molecule FISH, spatial transcriptomics, or spatial genomics applications.

SNT: a unifying toolbox for quantification of neuronal anatomy.

SNT is an end-to-end framework for neuronal morphometry and whole-brain connectomics that supports tracing, proof-editing, visualization, quantification and modeling of neuroanatomy. With an open architecture, a large user base, community-based documentation, support for complex imagery and several model organisms, SNT is a flexible resource for the broad neuroscience community. SNT is both a desktop application and multi-language scripting library, and it is available through the Fiji distribution of ImageJ.

Acquisition and reconstruction of 4D surfaces of axolotl embryos with the flipping stage robotic microscope.

We have designed and constructed a Flipping Stage for a light microscope that can view the whole exterior surface of a 2 mm diameter developing axolotl salamander embryo. It works by rapidly inverting the bottom-heavy embryo, imaging it as it rights itself. The images are then montaged to reconstruct the whole 3D surface versus time, for a full 4D record of the surface. Imaging early stage axolotl development will help discover how cell differentiation and movement takes place in the early embryo. For example, the switch from ectodermal to neural plate cells takes place on the top, animal surface portion the egg/embryo and can be observed using the flipping stage microscope. Detailed pictures of the whole surface need to be obtained so that cell tracking and event histories, such as cell divisions and participation in differentiation waves, of individual cells can be recorded. Imaging the whole exterior of the eggs/embryos will allow for the analysis of cell behavior and the forces the cells experience in their natural setting in the intact or manipulated embryo. This will give insights into embryogenesis, development, developmental disruptions, birth defects, cell differentiation and tissue engineering.

FunImageJ: a Lisp framework for scientific image processing.

Summary: FunImageJ is a Lisp framework for scientific image processing built upon the ImageJ software ecosystem. The framework provides a natural functional-style for programming, while accounting for the performance requirements necessary in big data processing commonly encountered in biological image analysis. Availability and implementation: Freely available plugin to Fiji (http://fiji.sc/#download). Installation and use instructions available at http://imagej.net/FunImageJ. Contact: kharrington@uidaho.edu. Supplementary information: Supplementary data are available at Bioinformatics online.