Edward S. Boyden

The paper uses AI to analyze spatial data from Alzheimer's mouse models, revealing new protein interactions and synaptic structures linked to disease.

The paper uses protein language models to predict ChrimsonR mutations that enhance photocurrent response, validating two mutations that significantly improve function.

This paper demonstrates that self-amplifying RNA (saRNA) enables durable, integration-free transgene expression in hiPSCs, supporting cell-fate programming and functional reporter analysis.

The paper presents a remote scanning light-sheet microscope for whole-brain voltage imaging in larval zebrafish, revealing spatial patterns of neuronal activity during visual stimuli and spontaneous bursts.

This study adapts Edman degradation and amino acid recognition to expansion microscopy gels to demonstrate in situ protein sequencing principles using synthetic constructs.

A four-network sodium acrylate/dimethylacrylamide hydrogel, cast ionic-within-ionic without neutral re-embedding, reaches about 1000-fold linear expansion and resolves individual peptide residues on standard confocal microscopes.

This paper introduces a fully endovascular neural interface that delivers electrical stimulation and recording through a microcatheter, demonstrating blood pressure modulation in rabbits.

The paper introduces ExRPath and 15ExMPath techniques to expand human brain tissue for nanostructure analysis, revealing amyloid nanoclusters associated with SARS-CoV-2 in COVID-19 patients.

This paper introduces UTMM, a method to simultaneously measure transcriptomes and mechanical properties in intact embryos, revealing coupling between RNA expression and intracellular compliance during early development.

This paper introduces a zebrafish transgenesis method for in vivo pooled screening of transgenes, enabling single-transgene precision in a physiological context.

This paper introduces CytoTape, a tool for continuous, multiplexed recording of gene regulation dynamics over weeks at single-cell resolution, and demonstrates its use in measuring transcription factor activities.

The paper introduces a method combining robotic electrophysiology and single-cell sequencing to link opsin sequences to their functional properties, demonstrating its efficiency over manual methods.

This study shows human brain organoids can mature over 5 years in culture, transcriptionally aging and retaining memory of time spent in vitro.

The paper designs proteins with reduced T-cell epitopes using deep generative models and policy optimization to improve immune compatibility across MHC Class I alleles.

The paper introduces PRISM, a platform that uses combinatorial protein barcodes to enable self-correcting neuron tracing with molecular context, improving tracing accuracy and handling spatial gaps.

This study shows that multisensory gamma stimulation improves cognitive function and adult neurogenesis in Ts65Dn mice, a model of Down syndrome.

The paper identifies a neural correlate of individual odor preference in Drosophila by linking microscale variations in the ORN-PN synapse to idiosyncratic behavior.

The paper introduces umExM, a method for dense membrane labeling and expansion microscopy to achieve nanoscale visualization of membranes in tissues, demonstrating resolution down to ~35 nm.

The paper introduces a method called patch-walking to improve the efficiency of finding synaptic connections by reusing a single patch clamp electrode, resulting in more connections probed per experiment.

The paper investigates how astrocyte regional specialization develops in mouse and marmoset brains using single-nucleus RNA sequencing and expansion microscopy, finding significant regional and developmental changes in gene expression and morphology.

The paper introduces ExIGS, a method linking nuclear abnormalities to chromatin repression hotspots in progeria fibroblasts.

This study shows that modifying the optical properties of a mammalian brain can enhance deep imaging without affecting native physiology.

This paper introduces a high-speed camera with programmable pixel sampling that improves signal-to-noise ratio, enabling detection of weak neuronal activity.

The paper identifies neurons as signal mixers that generate new oscillation frequencies, showing their role in cognitive functions and brain disorders.

This study examines how data and model size affect the accuracy of ANN models predicting neural activity in C. elegans, finding log-linear data scaling and nonlinear model scaling.

This paper introduces a method to image multiple dynamic signals in living cells using temporally multiplexed imaging with fluorescent proteins.

The paper discusses findings on 40 Hz sensory stimulation's effects on the brain, supporting its potential benefits while noting technical limitations in amyloid burden studies.

The paper analyzes single-nucleus RNA sequencing data from marmoset brain cells to show that neuronal identity is more influenced by developmental origin than functional class.

The paper introduces a method to record cellular physiological histories using self-assembling protein chains that can be optically read, demonstrating its use in neurons and mouse brain.

The paper investigates how PTEN heterozygous mutations affect different cell types in human cortical organoids and shows that these effects lead to abnormal circuit activity regardless of genetic background.