Michael I. Miller

The paper introduces SynTrack, a novel algorithm for tracking synaptic dynamics in vivo, achieving high accuracy and scalability in longitudinal synapse tracking.

The paper introduces xIV-LDDMM, a toolkit for cross-scale and cross-modality mapping of 3D imaging and spatial-omics data using image-varifold measures.

This paper introduces STalign, a method for aligning spatial transcriptomics data using diffeomorphic metric mapping, improving alignment accuracy over affine methods.

This paper creates a digital 3D arterial territory atlas from stroke patient MRIs to aid in automated analysis of brain damage.

The paper provides a guide to the BRAIN Initiative Cell Census Network (BICCN) data ecosystem, its tools, and resources for analyzing brain cell types across species.

The paper develops tools to track synaptic plasticity in vivo by imaging endogenous AMPA receptors and generates a detailed spatiotemporal map of synaptic changes during behavior.

This study develops a reaction-diffusion model to estimate the origin, spread speed, and stage of cortical atrophy in early Alzheimer's disease using MRI data.

This paper introduces a generative framework to register multimodal, incomplete neuroimaging data into a reference brain atlas, enabling geometric quantification of biological and technical variation.

This paper develops a registration technique for aligning 3D MRI and histology images in Alzheimer’s disease, handling intensity differences and missing data, and applies it to map tau tangles in brain tissue.

The paper investigates the anatomical continuity between koniocellular layers of the dorsal lateral geniculate nucleus and the inferior pulvinar nucleus in common marmosets using immunohistochemistry and neuronal tracing.

The paper introduces an EM-LDDMM algorithm for registering 3D atlases to 2D sparse target sections, handling uncertainties through hidden variables and diffeomorphic mappings.

The paper identifies changepoints in AD biomarkers before symptom onset, showing varying timing across different measures.

This paper presents a neurohistological pipeline and grid-based tracer injection strategy for mesoscale connectivity mapping in common marmosets, enabling high-quality brain-wide connectivity matrices.

This paper develops a variational framework for aligning histology stacks to an atlas, addressing curvature non-identifiability and enabling accurate reconstruction of whole-brain structures.