SPECIAL ABSTRACT REQUIREMENTS
Submissions to this conference include the following:
  • 100-word text abstract (for online program) (REQUIRED)
  • 250-word text abstract (for abstract digest) (REQUIRED)
  • OPTIONAL: one figure and caption with preliminary results. This must be submitted as a separate PDF document.
All submissions will be reviewed by the Program Committee to determine acceptance. Abstracts and figures will be used only for the purpose of review, and will not be published.


Quantitative phase imaging (QPI) refers to measuring at each point in the field of view the optical path length shift introduced by a specimen. This measurement allows for label-free and quantitative assessment of cells and tissues. The quantitative phase images of specimens are related to their refractive index distribution, an intrinsic optical property, which plays an important role in the study of pathophysiology of many diseases. This rapidly emerging field enables the investigation of cells and tissues in terms of morphology and dynamics with nanoscale sensitivity over temporal scales from milliseconds to days. Accurate determination of intrinsic properties, optical, chemical, and mechanical, is likely to help with both basic understanding of cell function and interpretation of pathological states. Employing the principles of interferometry and holography, QPI provides unique capabilities not only for imaging, but for propagation of optical fields as well. As a result, QPI can be used to improve image quality of instruments affected by aberrations, i.e., QPI provides opportunities for non-iterative adaptive optics. With reliable phase information, an imaging instrument becomes also a powerful device for measuring light scattering. Thus, quantitative phase imaging has recently bridged the gap between the imaging and scattering disciplines. This approach is called Fourier transform light scattering, as it represents the spatial analog to Fourier transform spectroscopy. Using QPI, one can easily measure angular scattering from a single cell, which offers opportunities for label-free cell sorting.

This conference is a forum for disseminating the development of methodologies of QPI and their applications to studying specimens. The multidisciplinary nature of QPI will see this conference bring together technology and application experts in electrical and bioengineering, physics and biophysics, cell biology, analytical chemistry, clinical sciences, medical imaging, optics and photonics, and tissue engineering. We will contribute to the development of interdisciplinary bonds in supporting scientists, engineers, biologists and physicians interested in the broad field of label-free quantitative phase imaging.

Papers are solicited on biomedical optics, biophotonics methodologies and applications in the broad area of QPI. Technology development activities are expected to advance the current state of the art in, for example: spatial phase sensitivity, temporal phase sensitivity, acquisition rate, resolution, tomographic reconstruction, spectroscopic content, throughput, phase reconstruction, phase unwrapping, image processing algorithms, user friendliness, etc. Application activities are expected to target specific biological questions, including: quantifying, monitoring, and functionally assessing the normal and pathological states in live cells and tissues from subcellular to organ scales.

Relevant topics include, but are not limited to:

QPI methodologies Algorithms and Imaging Processing in QPI Deep learning and AI techniques for QPI QPI of Cell & Tissues Clinical applications of QPI ;
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Conference BO506

Quantitative Phase Imaging XI

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Conference Chair
Yang Liu
Univ. of Illinois Urbana-Champaign (United States)
Conference Chair
YongKeun Park
KAIST (Korea, Republic of)
Program Committee
Tatiana Alieva
Univ. Complutense de Madrid (Spain)
Program Committee
George Barbastathis
Massachusetts Institute of Technology (United States)
Program Committee
Liangcai Cao
Tsinghua Univ. (China)
Program Committee
Shwetadwip Chowdhury
The Univ. of Texas at Austin (United States)
Program Committee
Pietro Ferraro
Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello" (Italy)
Program Committee
Björn Kemper
Universitätsklinikum Münster (Germany)
Program Committee
Jerome Mertz
Boston Univ. (United States)
Program Committee
Aydogan Ozcan
Univ. of California, Los Angeles (United States)
Program Committee
Demetri Psaltis
Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Program Committee
Monika Ritsch-Marte
Medizinische Univ. Innsbruck (Austria)
Program Committee
Francisco E. Robles
Wallace H. Coulter Dept. of Biomedical Engineering at Georgia Institute of Technology (United States)
Program Committee
Balpreet Singh Ahluwalia
UiT The Arctic Univ. of Norway (Norway)
Program Committee
Peter T. C. So
Massachusetts Institute of Technology (United States)
Program Committee
Laura Waller
Univ. of California, Berkeley (United States)
Program Committee
Renjie Zhou
The Chinese Univ. of Hong Kong (Hong Kong, China)
Program Committee
Thomas A. Zangle
The Univ. of Utah (United States)