Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments

  title={Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments},
  author={Mikhail Eugene Kandel and Yuchen R. He and Young Jae Lee and Taylor Hsuan-Yu Chen and Kathryn M. Sullivan and Onur Aydin and M. Taher A. Saif and Hyun Joon Kong and Nahil Atef Sobh and Gabriel Popescu},
  journal={Nature Communications},
Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy’s utility. Recently, it has been shown that artificial intelligence (AI) can transform one form of contrast into another. We present phase imaging with computational specificity (PICS), a combination of quantitative phase imaging and AI, which provides information about unlabeled live… 
Time-lapse Study of Neural Networks Using Phase Imaging with Computational Specificity (PICS)
The results show that a deep neural network, when trained on phase images with correct fluorescent labels, can correctly learn the necessary morphological information to successfully predict MAP2 and Tau labels, which allows us to classify axons from dendrites in live, unlabeled neurons.
Live-dead assay on unlabeled cells using phase imaging with computational specificity
The nondestructive approach presented here may find a broad range of applications, from monitoring the production of biopharmaceuticals to assessing the effectiveness of cancer treatments.
Synthetic aperture interference light (SAIL) microscopy for high-throughput label-free imaging.
Synthetic aperture interference light (SAIL) microscopy is presented as a solution for high-resolution, wide field of view QPI and employs low-coherence interferometry to directly measure the optical phase delay under different illumination angles and produces large space-bandwidth product label-free imaging.
Spatial light interference microscopy: principle and applications to biomedicine.
This paper reviews spatial light interference microscopy (SLIM), a common-path, phase-shifting interferometer, built onto a phase-contrast microscope, with white- light illumination, and introduces two methods for solving the inverse problem using SLIM, white-light tomography, and Wolf phase tomography.
Computational interference microscopy enabled by deep learning
This paper proposes using deep learning to produce synthetic, SLIM-quality, high-sensitivity phase maps from DPM, single-shot images as input, and implemented the neural network inference into the live acquisition software, which now allows a DPM user to observe in real-time an extremely low-noise phase image.
High-resolution impedance mapping using electrically activated quantitative phase imaging
The teams led by Eugen Gheorghiu from the International Centre of Biodynamics in Bucharest, Romania, and by Gabriel Popescu from the University of Illinois at Urbana Champaign have developed an instrument that combines phase imaging with alternating voltage perturbations to measure a target’s refractive index and electrical impedance maps that can reveal properties including tumors in human tissue, or defects on coating surfaces.
Single cell capture, isolation, and long‐term in‐situ imaging using quantitative self‐interference spectroscopy
  • Rongxin Fu, Ya Su, Guoliang Huang
  • Chemistry, Biology
    Cytometry. Part A : the journal of the International Society for Analytical Cytology
  • 2021
According to the results, single cells could be trapped, transferred and pushed into the culture chamber with the microfluidic chip, and the refractive index sensitivity of the proposed quantitative imaging method was 0.0282 and the relative error was merely 0.04%.
DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning
A deep neural network is proposed and experimentally demonstrated that rapidly improves the resolution of a three-dimensional refractive index map and offers more than an order of magnitude faster regularization performance compared to the conventional iterative method.
Physical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samples
This approach highlights that large-scale multiple-scattering models can be leveraged in place of acquiring experimental datasets for achieving highly generalizable deep learning models and devise a new model-based data normalization pre-processing procedure for homogenizing the sample contrast and achieving uniform prediction quality regardless of scattering strength.


Live Cell Imaging with Holotomography and Fluorescence
QPI is introduced, its advantages for LCI are examined, and correlative microscopy studies in cell pathophysiology in combination with fluorescence are reviewed.
Gradient light interference microscopy for 3D imaging of unlabeled specimens
A quantitative phase method that uses low-coherence interferometry for label-free 3D imaging in scattering tissue and is implemented as an add-on module to an existing inverted microscope.
Quantitative Phase Imaging (QPI) in Neuroscience
The principles of QPI, novel QPI technology, advances in data processing, and a number of exciting applications in neuroscience are reviewed.
Cardiomyocyte Imaging Using Real-Time Spatial Light Interference Microscopy (SLIM)
This paper presents the dispersion relation, i.e. decay rate vs. spatial mode, associated with dynamic beating cardiomyocyte cells from the quantitative phase images obtained with the real-time SLIM system, and uses a fast LCPM for phase shifting and a fast scientific-grade complementary metal oxide semiconductor camera (sCMOS) camera (Andor) for imaging.
White-light diffraction tomography of unlabelled live cells
The results establish WDT as a means for measuring three-dimensional subcellular structures in a non-invasive and label-free manner.
Tomographic flow cytometry by digital holography
It is demonstrated that by exploiting the random rolling of cells while they are flowing along a microfluidic channel, it is possible to obtain in-line phase-contrast tomography, if smart strategies for wavefront analysis are adopted.
Cell damage and reactive oxygen species production induced by fluorescence microscopy: effect on mitosis and guidelines for non-invasive fluorescence microscopy.
  • R. Dixit, R. Cyr
  • Biology
    The Plant journal : for cell and molecular biology
  • 2003
The green fluorescent protein (GFP) and other intrinsically fluorescent proteins (IFPs) are popular reporters because they allow visualization of cellular constituents in living specimens. IFP
Simultaneous cell traction and growth measurements using light
This work presents a new real-time traction stress imaging modality, Hilbert phase dynamometry (HPD), and uses the technique of spatial light interference microscopy (SLIM) for label free monitoring of cell growth and found that cells undergoing osteogenesis and adipogenesis exerted larger and more dynamic stresses than their precursor.
Phase and fluorescence imaging with a surprisingly simple microscope based on chromatic aberration.
The system is characterized and a time-lapse of cell culture in phase and multi-channel fluorescence recorded inside an incubator is shown, believing that the small dimensions, easy usage and low cost of the system make it a useful tool for biological research.