Topic: microscopy

Study the mechanical properties of the female reproductive tract through mechanical measurements, advanced microscopy, ex vivo tissue culture, histology, and quantitative image and data analysis. The REPROMECH project funds an initial three-year doctoral appointment, with possible extension, starting on 1 January 2027 or as soon as possible. Pay is 75% of TVöD Bund E13. The position is based in Heidelberg, Germany. Applications are due by 1 November 2026 through the linked employer application portal.

Four-year doctoral position in the Ultra-High Field Neuroimaging group and Spinoza Centre for Neuroimaging. The project maps human cerebellar structure in postmortem brain tissue to provide a reference for in-vivo ultra-high-field MRI experiments. Research combines tissue staining, microscopy, quantitative image analysis and postmortem MRI, with access to 7T imaging and the Netherlands Brain Bank. The advertised appointment is full-time in Amsterdam.

E11 Bio is recruiting an experimental scientist to advance scalable mammalian brain connectomics. The role integrates tissue preparation, microscopy, quantitative analysis, and molecular engineering across reagent panels for comprehensive synapse identification and barcode-epitope readout.

Embryos issue instructions to their cells in the form of patterns of signaling activity. Within these patterns, the distribution of signaling in time and space directs the fate of embryonic cells. Tools to perturb developmental signaling with high resolution in space and time can help reveal how these patterns are decoded to make appropriate fate decisions. In this talk, I will present new optogenetic reagents and an experimental pipeline for creating designer Nodal signaling patterns in live zebrafish embryos. Our improved optoNodal reagents eliminate dark activity and improve response kineti

Robust detection of biological structures such as neuronal dendrites in brightfield micrographs, tumor tissue in histological slides, or pathological brain regions in MRI scans is a fundamental task in bio-image analysis. Detection of those structures requests complex decision making which is often impossible with current image analysis software, and therefore typically executed by humans in a tedious and time-consuming manual procedure. Supervised pixel classification based on Deep Convolutional Neural Networks (DNNs) is currently emerging as the most promising technique to solve such complex

Neuroscientists routinely perform experiments aimed at recording or manipulating neural activity, uncovering physiological processes underlying brain function or elucidating aspects of brain anatomy. Understanding how the brain generates behaviour ultimately depends on merging the results of these experiments into a unified picture of brain anatomy and function. We present BrainGlobe, a new initiative aimed at developing common Python tools for computational neuroanatomy. These include cellfinder for fast, accurate cell detection in whole-brain microscopy images, brainreg for aligning images t

Ultra-low-cost, easily implemented and flexible two-photon scanning microscopy modification offering a several-fold expanded three-dimensional field of view that also maintains single-cell resolution. Application of our system for imaging neuronal activity has been demonstrated on mice, zebrafish and fruit flies. Website: https://github.com/BadenLab/nTCscope

In the 17th century, Antonie van Leeuwenhoek used one of the earliest microscopes to see how sperm swim. He described the sperm as a “living animalcule” with a “tail, which, when swimming, lashes with a snakelike movement, like eels in water”. Strikingly, this perception of how sperm moves has not changed since. Indeed, anyone today with a modern microscope would make the same observation: sperm swim forward by wiggling their tail symmetrically side-to-side. Our new research using 3D microscopy shows that we have all been victims of a sperm deception, an illusion. Only now we can see that for