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This study attempts to engineer the reductive glycine pathway in Parageobacillus thermoglucosidasius for formate and methanol assimilation but finds limited success due to metabolic limitations and incomplete pathway implementation.

This paper introduces a near infrared fluorescent nanosensor for spatial and dynamic measurement of IAA in planta, showing species independence and functionality in plant cells.

This study determines the limit of detection of Raman spectroscopy for polystyrene particles in aqueous suspensions, showing its potential for detecting small particles like viruses.

The paper compares tissue-clearing methods for imaging whole-mount retinas, finding ScaleH improves transparency and fluorescence stability for better visualization of transplanted cells.

This study demonstrates high-density single-unit recordings in human cortex using uFINE arrays during surgery, achieving stable recordings of up to 135 units from 10 patients.

This study introduces a low-irradiance blue light therapy for wound infections, showing it effectively reduces bioburden while being safer than high-irradiance methods.

This paper develops a FUS-responsive granular hydrogel system that stabilizes through crosslinking and porosity control, showing potential for minimally invasive tissue regeneration.

The paper characterizes self-organizing neural networks in Xenopus-derived biobots, showing they exhibit complex behaviors, active neurons, and distinct transcriptomic profiles compared to non-neuronal constructs.

The paper introduces AutoDS and AutoDS3D, deep learning tools for single-molecule super-resolution microscopy that reduce manual intervention and computation time.

This paper introduces EM-DINO and OmniEM, a foundation model and architecture for EM image analysis, improving restoration and segmentation across diverse datasets.

This paper introduces a novel CP-HHT method for high-throughput 3D refractive index imaging of lipid droplets, showing its ability to distinguish between cholesterol esters and triacylglycerol-rich droplets.

This paper develops a 3D microfluidic chip model of the neurovascular unit that supports neural-vascular interactions and is used to study neuroinflammation and drug transcytosis.

This paper develops a hybrid nanocomposite for targeted topical delivery of resveratrol in psoriasis management, showing improved skin penetration, safety, and therapeutic efficacy.

ProtNote is a multimodal deep learning model that enables supervised and zero-shot protein function prediction using free-form text inputs, generalizing to unseen functions.

The paper introduces a curved light sheet microscope for high-throughput imaging of cleared tissues, achieving diffraction-limited resolution over a large field of view.

This paper develops an fMRI analysis pipeline to study central chemoreception in humans by comparing breath-hold and free breathing conditions, identifying brainstem and diencephalic regions involved in CO2 responses.

This paper improves mRNA vaccine efficacy by creating an inflammatory immune niche via injectable hydrogel depots that recruit immune cells and enhance humoral responses.

This study shows that aerosol delivery of Hesperetin-loaded nanoparticles and anti-CD40 antibody improves survival in a murine lung cancer model.

This paper develops a heat diffusion method to interpolate z-stacked cell images, preserving interfaces without requiring explicit boundary identification.

This study uses multi-omics analysis and GSMMs to identify metabolic bottlenecks in HEK293 cell AAV production, revealing HIF1alpha's role in pseudohypoxia and its impact on viral yield.