Topic: imaging

EMBO | EMBL Symposium bringing machine-learning and life-science researchers together across sequencing, imaging and structural biology. Topics include foundation models, cross-modality learning, causal explanation, mechanistic interpretability, generative models and AI agents. Onsite workshops and tutorials take place on the first day; the following three days offer hybrid talks and posters. Registration is not yet open; the official page accepts expressions of interest.

Develop tissue-based models for understanding host–pathogen interactions and evaluating medical countermeasures at the Australian Centre for Disease Preparedness. Research combines cell biology, imaging, pathology and data analysis in a multidisciplinary team. Three-year full-time fellowship; AU$103,000–113,000 annually plus 15.4% superannuation. Applications close 22 November 2026 at 23:00 AEDT.

Lead technology development for the Immunology accelerator, identifying research capability gaps and translating emerging molecular and cellular assays into scalable workflows. Direct a small team, validate platforms, collaborate across the institute and transfer robust methods to other research groups. Research capabilities include multiomics, spatial assays, imaging and immune-cell engineering. The annualized salary range is USD 159,200–199,000. Work is primarily onsite in Seattle; any limited remote work must take place in Washington State.

Provide up to USD 5,000 for a six-month neuroradiology research project during January–June 2027. The award supports eligible residents, fellows and postdoctoral researchers while they remain in the required training programme. Funds can support direct project needs such as imaging, analysis software and related research resources, but cannot pay the trainee, mentor or collaborators’ salaries. Applicants require ASNR membership and appropriate mentorship or institutional support. Apply by 30 October 2026 at 9 a.m. Central Time.

Lead research linking focused ultrasound, synthetic biology and cancer immunotherapy in Nate Yoon’s RPBS Lab. Projects include ultrasound-responsive gene circuits, immune-cell mechanotransduction and acoustic tools for imaging and therapy. Mentor students and develop an independent research trajectory in an interdisciplinary engineering environment. The expected start is 15 January 2027. Applications received by 1 October 2026 receive full consideration; the employer explicitly continues accepting applications until the position is filled.

Study microbes confined within synthetic hydrogels in the Engineered Living Materials programme led by Aránzazu del Campo. Combine imaging, microfluidics and molecular biology to understand microbial behaviour under dynamic environmental conditions, collaborating across materials science and synthetic biology. Responsibilities include student supervision and digital research practices. The appointment is initially two years at EG13 TV-L, with hybrid working; part-time arrangements are possible. Applications close on 15 October 2026.

Archive listing for the EMBO | EMBL Symposium held on 10–13 March 2026 at EMBL Heidelberg and online. The meeting connected researchers applying artificial intelligence to sequencing, imaging and structural biology. Programme themes included foundation models, learning across data types, interpretability, generative modelling and translating algorithms into biological insight. The official event page retains the programme and speaker information. This event has ended; registration and abstract submission are closed.

This webinar will showcase new approaches for electrophysiological recordings using our silicon neural probes and surface arrays combined with diverse optical methods such as wide-field or 2-photon imaging, fiber photometry, and optogenetic perturbations in awake, behaving mice. Multi-modal recording of single units and local field potentials across cortex, hippocampus and thalamus alongside calcium activity via GCaMP6F in cortical neurons in triple-transgenic animals or in hippocampal astrocytes via viral transduction are brought to bear to reveal hitherto inaccessible and under-appreciated a

We are very much looking forward to host Francisca Ferreira and Birte Forstmann on December 14th, 2023, at noon ET / 6PM CET. Francisca Ferreira is a PhD student and Neurosurgery trainee at the University College of London Queen Square Institute of Neurology and a Royal College of Surgeons “Emerging Leaders” program laureate. Her presentation title will be: “Microstructural and connectivity correlates of outcome variability in functional neurosurgery for movement disorders”. Birte Forstmann, PhD, is the Director of the Amsterdam Brain and Cognition Center, a Professor of Cognitive Neuroscience

Neurodegenerative diseases are chronic and inexorable conditions characterised by the presence of insoluble aggregates of abnormally ubiquinated and phosphorylated proteins. Recent evidence also suggests that protein misfolding can propagate throughout the body in a prion-like fashion via the interstitial or cerebrospinal fluids (CSF). As protein aggregation occurs well before the onset of brain damage and symptoms, new biomarkers sensitive to early pathology, together with therapeutic strategies that include eliminating seed proteins and blocking cell-to-cell spread, are of vital importance.

Martin Kermit and Håkon Dahle discuss amateur astronomy, observing techniques and imaging the night sky. Conversation in Norwegian.

Learning is known to induce the formation of new dendritic spines, but despite decades of effort, the functional properties of new spines in vivo remain unknown. Here, using a combination of longitudinal in vivo 2-photon imaging of the glutamate reporter, iGluSnFR, and correlated electron microscopy (CLEM) of dendritic spines on the apical dendrites of L2/3 excitatory neurons in the motor cortex during motor learning, we describe a framework of new spines' formation, survival, and resulting function. Specifically, our data indicate that the potentiation of a subset of clustered, pre-existing s

Despite the challenges COVID-19 has continued to present, Monash Biomedical Imaging (MBI) has had another outstanding year in terms of publications and scientific output. In this webinar, Professor Gary Egan, Director of MBI, will present an overview of MBI’s achievements during 2021 and outline the biomedical imaging research programs and partnerships in 2022. His presentation will cover: • MBI operational and research achievements during 2021 • Biomedical imaging technology developments and research outcomes during 2021 • Linked laboratories and research teams at MBI • Progress on the develo

Brain microstructure plays a key role in driving the transport of drug molecules directly administered to the brain tissue as in Convection-Enhanced Delivery procedures. This study reports the first systematic attempt to characterize the cytoarchitecture of commissural, long association and projection fiber, namely: the corpus callosum, the fornix and the corona radiata. Ovine samples from three different subjects have been imaged using scanning electron microscope combined with focused ion beam milling. Particular focus has been given to the axons. For each tract, a 3D reconstruction of relat

Neural stem cells (NSCs) generate new neurons throughout life. We use imaging-, genome editing-, and transgenesis-based approaches as well as cellular models of human diseases using pluripotent embryonic cells to study the molecular and cellular framework of NSC biology in the developing and adult brain. Aim of our research is to understand how physiologic and disease-associated alterations of neurogenesis are translated into stem cell-associated plastic changes in the developing and adult brain on a molecular, cellular, and behavioral level.

The brain is complex over multiple length-scales, from many protein molecules forming intricate nano-machines in a synapse to many neurons forming interconnected networks across the brain. Unraveling this multi-scale complexity is fundamental to our understanding of brain function and disease. In this lecture, I will introduce advances in visualizing the complex, multi-scale structures in the brain. Emphasis will be on new imaging techniques, including cryo electron tomography and correlative light-electron microscopy that enabled revealing in situ organization of synaptic molecules, and ultra

Every year around 100,000 people in the UK will have a stroke. Stroke is a leading cause of adult disability, and cerebrovascular disease more broadly is a major cause of dementia. Understanding these diseases – both acute and chronic manifestations of cerebrovascular disease – requires consideration not only of the brain itself, but also the blood vessels supplying it. Atherosclerosis – the hardening of arteries as we age – may predispose to stroke by triggering the formation of blood clots that block the blood supply to the brain, but also involves inflammation that may cause chronic damage

Personalised medicine will be greatly enhanced with the introduction of new radiopharmaceuticals for the diagnosis and treatment of various cancers, as well as cardiovascular disease and brain disorders. The unprecedented interest in developing theranostic radiopharmaceuticals is mainly due to the recent clinical successes of radiometal-based products including: • 177LuDOTA-TATE (trade name Lutathera, FDA approved in 2018), a peptide-based tracer that is used for treating metastatic neuroendocrine tumours • Ga 68 PSMA-11 (FDA approved in 2020), a positron emission tomography agent for imaging

Neurodegenerative diseases such as Alzheimer’s or Parkinson’s are devastating conditions with poorly understood mechanisms and no cure. Yet, a striking feature of these conditions is the characteristic pattern of invasion throughout the brain, leading to well-codified disease stages associated with various cognitive deficits and pathologies. How can we use mathematical modelling to gain insight into this process and, doing so, gain understanding about how the brain works? In this talk, I will show that by linking new mathematical theories to recent progress in imaging, we can unravel some of t

Animals constantly modify their behavior through experience. Flexible behavior is key to our ability to adapt to the ever-changing environment. My laboratory is interested in studying the activity of neuronal ensembles in behaving animals, and how it changes with learning. We have recently set up a paradigm where mice learn to associate sensory information (two different odors) to motor outputs (lick vs no-lick) under head-fixation. We combined this with two-photon calcium imaging, which can monitor the activity of a microcircuit of many tens of neurons simultaneously from a small area of the

1. Embedding is all you need: A machine learning way to analyse white matter tractography streamlines - Dr Shenjun Zhong, Monash Biomedical Imaging Embedding white matter streamlines with various lengths into fixed-length latent vectors enables users to analyse them with general data mining techniques. However, finding a good embedding schema is still a challenging task as the existing methods based on spatial coordinates rely on manually engineered features, and/or labelled dataset. In this webinar, Dr Shenjun Zhong will discuss his novel deep learning model that identifies latent space and s

Powerful new ways to image the internal structures and complex dynamics of cells are revolutionizing cell biology and bio-medical research. In this talk, I will focus on how emerging fluorescent technologies are increasing spatio-temporal resolution dramatically, permitting simultaneous multispectral imaging of multiple cellular components. In addition, results will be discussed from whole cell milling using Focused Ion Beam Electron Microscopy (FIB-SEM), which reconstructs the entire cell volume at 4 voxel resolution. Using these tools, it is now possible to begin constructing an “organelle i