Category: Scanners and Imaging
- TrUDI extends optical recording of neuronal activity to about 2 mm in mouse brains ()
Published October 31, 2026. TrUDI, a redesigned three-photon microscopy platform, records neuronal activity about 2 millimetres beneath the surface of the mouse brain. The work was published October 28 in Nature Methods and described in a same-day Rockefeller University announcement. Rather than relying on higher average laser power, the team optimized pulse timing and energy, […]
- Thyra connects mass spectrometry imaging with SpatialData for multimodal biology ()
Published October 31, 2026. Thyra is an open-source Python library designed to connect mass spectrometry imaging with other spatial biology measurements. A report published October 28 in Nature Methods describes its conversion of continuous raw vendor datasets and imzML data into the SpatialData format. Mass spectrometry imaging maps where molecules occur within samples. Combining those […]
- CopilotJ brings conversational AI workflows to ImageJ bioimage analysis ()
Published October 31, 2026. CopilotJ connects natural-language requests with ImageJ bioimage analysis, according to a correspondence published October 28 in Nature Methods. The system uses several cooperating AI agents to interpret tasks, retrieve relevant knowledge, generate instructions and operate imaging software. A dedicated bridge exchanges information with ImageJ and executes analysis steps. After validation on […]
- 7-tesla MRI maps structural and functional organization of human locus coeruleus connections ()
Published October 31, 2026. A study published October 29 in Communications Biology maps how structural and functional connections differ along the human locus coeruleus, a major source of the brain’s norepinephrine. Researchers combined 7-tesla diffusion MRI with resting-state functional MRI. They found that the correspondence between structural and functional connectivity was lowest in the intermediate […]
- Interpretable AI supports small liver-lesion assessment on multiphase CT ()
Published October 30, 2026. Researchers describe dLI-RADS, an interpretable AI method for estimating hepatocellular carcinoma probability from multiphase CT scans. It combines neural-network predictions with quantitative measurements related to established LI-RADS imaging features. The retrospective multicenter study used training, internal evaluation and external evaluation groups of 143, 62 and 133 patients, respectively. Lesions larger than […]
- MEG study identifies multiple dimensions of cortical excitability ()
Published October 30, 2026. A Communications Biology study compares several indirect measures of cortical excitability using whole-head magnetoencephalography in healthy adults. Recordings were collected at rest and during auditory stimulation at 40 hertz. Rather than finding one interchangeable measure of excitability, the analysis identified six dimensions with limited overlap. The metrics included stimulus synchronization, spectral […]
- Cryo-EM study examines how human VIAAT packages inhibitory neurotransmitters ()
Published October 30, 2026. A Cell Research study combines cryo-electron microscopy, molecular dynamics simulations and functional experiments to investigate human VIAAT, the transporter that loads inhibitory neurotransmitters into synaptic vesicles. VIAAT packages both GABA and glycine for release by neurons. Understanding how it recognizes these different molecules and couples transport to ions helps explain a […]
- Cryo-electron tomography reveals local organization of the human mitotic spindle ()
Published October 29, 2026. Cryo-electron tomography is revealing how short microtubules organize into the machinery that separates chromosomes during human cell division. Conway and colleagues report the findings today in Nature Communications. The mitotic spindle must build a coherent bipolar structure from filaments that do not necessarily span the distance between a spindle pole and […]
- Impression-R1 improves radiology summary writing in reader study ()
Published October 29, 2026. Impression-R1 is a specialized reasoning model designed to write diagnostic summary sections from radiology findings. Wang and colleagues describe its development and evaluation in Nature Communications, published October 28. The model combines supervised learning, clinically conditioned reasoning and radiology-specific reward optimization. Evaluation covered 11,884 cases from six institutions and three public […]
- Deep learning predicts IDH1 mutations from leukemia bone marrow images ()
Published October 29, 2026. A deep-learning model predicts IDH1 mutation status from digitized bone marrow smears in acute myeloid leukemia (AML). Eckardt and colleagues report the multicenter study today in npj Precision Oncology. The researchers used whole-slide images from 436 patients across four centers in Germany and the United States. Their attention-based multiple-instance learning approach […]