JPhysD特刊征稿|Special Issue on Label-free Bioimaging

Clockwise from top left: Optical diffraction tomography revealing the refractive index distribution of a cell phantom. Taken from He et al. Optics Letters 48 (2023); Interferometric scattering microscopy of gold nanoparticles; Wide-field laser speckle contrast imaging of a mouse brain. Taken from Liu et al. Biomedical Optics Express 14 (2023); Image of a sheep’s small intestine captured via multimode fibre endoscopy. Taken from Wen et al. Nature Photonics 17 (2023). Image courtesy of the guest editors from their publications or experimental images.

特刊详情

客座编辑

• Tong Ling，新加坡南洋理工大学
• Ishan Barman，美国约翰斯·霍普金斯大学
• 周仁杰，香港中文大学
• Xiaojun Cheng，美国波士顿大学
• 杨青，浙江大学

主题范围

As research in biological systems transitions from structural imaging to spatiotemporal dynamics, label-free bioimaging emerges as an indispensable tool for pioneering scientific discoveries. Moreover, recent advancements in computational imaging and machine learning are paving the way for revealing hidden correlations in extensive time-elapsed recordings and leveraging prior knowledge to enhance the signal-to-noise ratio. Such progress is poised to enhance the effectiveness of label-free bioimaging techniques, offering both improved performance and reduced costs.

In this focus collection, we will highlight the latest developments in label-free bioimaging across all facets, from fundamental principles and image processing techniques to applications in biology and medicine. The topics covered in this focus issue include, but are not limited to:

• Development of label-free imaging systems, such as Quantitative Phase Imaging, Polarization Imaging Microscopy, Interferometric Scattering Microscopy, Optical Coherence Tomography, Dynamic Light Scattering, Laser Speckle Contrast Imaging, Raman Spectroscopy, Autofluorescence Imaging, Second-harmonic Generation and Third-harmonic Generation Microscopy, Photothermal Imaging;
• Biomedical applications of label-free bioimaging techniques;
• Imaging theory/physics;
• Image processing and machine learning approaches;
• Translational research.

投稿流程

特刊文章与JPhysD期刊常规文章遵循相同的审稿流程和内容标准，并采用同样的投稿模式。

有关准备文章及投稿的详细信息，可以参阅IOPscience页面的作者指南。

作者可登入期刊主页进行在线投稿，在“文章类型”中选择“特刊文章”，并在“选择特刊”的下拉框中选择“Special Issue on Label-free Bioimaging”。