Digital Holography and Microscopy

This paper introduces a label-free imaging method called quadrant darkfield (QDF) to enhance subcellular structure analysis in living cells, showing improved resolution and consistency compared to traditional darkfield.

The paper introduces the Omni-Mesoscope, a cost-effective imaging platform that combines quantitative phase microscopy and multiplex fluorescence imaging to study cellular dynamics and molecular characteristics.

This paper combines label-free acoustic and optical microscopy to image 3D tumor spheroids in hydrogels, enabling high-throughput drug screening by capturing structural and cellular details.

This paper introduces CFAST, a novel imaging technique for 3D microbial community dynamics in the rhizosphere, enabling non-invasive tracking of bacterial behavior and gene expression without genetic labeling.

This paper introduces a label-free 3D imaging technique to predict blastocyst formation in mouse embryos using machine learning.

CellSNAP improves 3D cell segmentation in quantitative phase imaging by being faster, more robust, and better at handling clumped cells and interferogram drifts.

This paper introduces a platform combining quantitative phase imaging and microwell confinement to improve lineage tracking by measuring cell mass.

This paper demonstrates a holographic imaging system that non-invasively records in vivo neural activity through high-resolution measurement of tissue deformation.

This study introduces low-coherence holotomography for long-term live imaging of unlabeled mouse small intestinal organoids, capturing high-resolution morphological details and differentiating viable from non-viable organoids.

This study uses dry mass and volume measurements to assess early response of multiple myeloma cells to proteotoxic and genotoxic treatments, finding dry mass increases correlate with bortezomib sensitivity.

The paper uses label-free interferometric imaging to show that hippocampal astrocyte volume decreases by 25% during the night while maintaining constant dry mass.

This paper demonstrates in vivo fluorescence imaging with a flat, lensless microscope achieving high spatial resolution and large field of view.

This paper introduces a label-free method to monitor 3D neuronal growth in vitro using optical diffraction tomography, enabling visualization of neurite outgrowth without fixation.

The paper uses phase imaging combined with AI to quantify myelin content in brain tissue, showing high accuracy in distinguishing gestational size and diet type.

HoloNet is a deep learning model that analyzes holographic images of breast cancer cells to classify cell types and quantify molecular markers, identifying new subtypes.

The paper quantifies myelin content in brain tissue using cSLIM, showing differences between AGA and SGA piglets and the effect of diet on myelination.

This paper introduces a new computational method for Quantitative Phase Microscopy to measure single-cell growth dynamics, revealing oscillatory growth patterns in mammalian cells.

This paper demonstrates the manipulation of the optical refractive index in mammalian cells using cephalopod reflectin protein nanoparticles and shows their application in microscopy techniques.

This study uses high-resolution imaging to show how neurons deform during action potentials, revealing the relationship between electrical signals and mechanical changes.

The paper presents a one-shot phase-recovery method using a cellphone RGB camera on a Jamin-Lebedeff microscope to enable real-time quantitative phase measurements.

The paper introduces a parallel microscopy system called 96 Eyes that enables simultaneous imaging of all wells on a 96-well plate using Fourier Ptychography to enhance imaging quality and depth of field.

The paper uses optical diffraction tomography to measure morphological and biochemical changes in individual neurons from an in vitro Parkinson’s disease model, revealing early apoptotic features.