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This paper extends an inverse-scattering framework to reconstruct complex-valued refractive index, including absorptivity, by combining angle-varying illumination and sample defocus measurements.

This paper develops hybrid nanoparticles with improved stability and redox activity for ovarian cancer treatment and imaging.

A modular robotic system performs key unit operations in cell therapy manufacturing with accuracy comparable to human operators while ensuring throughput and flexibility.

This paper introduces cDONN, a neural network that generates EEG signals and classifies behavior simultaneously, showing high fidelity in synthesized EEG data.

Brain-stiffness-matched pHEMA/GMA hydrogel scaffolds with 40 µm interconnected pores reduced astrocyte encapsulation and iNOS+ macrophage fraction versus stiff solid rods after 4 weeks in rat brain.

This study demonstrates long-term production and recovery of medium-chain carboxylic acids from source-separated organics using microbial chain elongation and in-line extraction.

This paper introduces a high-channel-count neural recording and stimulation platform with 5,376 channels, demonstrating its use in high-resolution cortical mapping in rat brains.

This study develops a synergy-based feedforward plus feedback control model for post-stroke walking, finding that 100% feedforward control best reproduces experimental data.

This paper develops a degradable PLGA/PCL membrane for a lung alveoli-on-a-chip system to model particulate-induced alveolar injury and assess therapeutic responses.

This paper introduces a new 3D organ-on-chip platform using tomographic volumetric additive manufacturing integrated into microfluidic chips, enabling rapid and reproducible fabrication of complex biological models.

This paper reports the first archaeal cell factory for leucine production from CO2, achieving high productivity and economic feasibility in a pilot-scale bioprocess.

This paper characterizes the viscoelastic properties and 3D architecture of bovine thymus extracellular matrix, providing a dataset for tissue engineering applications.

The paper introduces a biodegradable stent with an architected lattice design that improves flexibility, kink resistance, and drainage while eliminating the need for removal.

CALIPERS enables cell cycle-aware live imaging by integrating a modified FUCCI variant, analysis software, and reporter lines for phenotyping and regeneration studies.

This paper uses computational fluid dynamics to guide the scaling of perfusion bioreactors, showing that maintaining interstitial flow ensures reproducible microvessel networks across 30-fold volume increases.

This paper uses machine learning models to create fast surrogates for biomechanical laryngeal control models, enabling real-time applications with reduced computational costs.

This paper introduces a platform for creating de novo autogenic engineered living materials using CsgA-like proteins from extremophilic bacteria, demonstrating tunable mechanical properties and programmable functionalities.

This paper demonstrates the generation of advanced bioengineered kidney tissues using decellularized scaffolds and human pluripotent stem cell-derived progenitors, showing functional integration in vivo.

This study demonstrates the ability to detect and discriminate microcystin congeners at sub-nanomolar concentrations using aerolysin nanopores, with applications for environmental monitoring.

The paper enhances glycoprotein secretion in yeast by engineering a human-like protein quality control system, resulting in up to 12-fold increased production of therapeutic glycoproteins.