Smart Computational Imaging (SCI) Lab
智能计算成像实验室

Welcome

Welcome to the homepage of the Smart Computational Imaging (SCI) Laboratory‍ ! Our group is part of the Nanjing University of Science and Technology‍ and the Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense‍, ‍‍Nanjing, Jiangsu Province, China. We are dedicated to the development of next-generation computational imaging and sensing technologies with a special emphasis on microscopy, metrology, bio-medicine, human-computer interaction, and remote sensing. In particular, we investigate how optical manipulation and signal processing can be incorporated into optical imaging systems for making the invisible visible and providing unprecedented perceptions that far exceeds human ability. To learn more about our specific research areas, please click on the Research‍ tab. You can also follow us on Google Scholar‍ and Researchgate‍.

Keywords: Computational imaging, Phase retrieval, Quantitative phase imaging, Digital holographic microscopy, Biomedical Imaging, 3D imaging and sensing, Optical metrology, Applied optics, Remote sensing, Computer graphics and vision.

If you want to work with us (as a PostDoc, PhD, Master student or intern), please carefully read our application guidelines before applying.

Research Highlight

We reported a physics-informed deep learning method for fringe pattern analysis (PI-FPA), which integrates a lightweight DNN with a learning-enhanced Fourier transform profilometry (LeFTP) module,

A computational three-dimensional (3D) microscopy technique, termed programmable aperture light-field microscopy (PALFM), for motion-free, high-resolution volumetric imaging of fluorescent or self-lum

The simultaneously integrated transmissive angle-scanning and reflective wavelength-scanning illumination schemes in one system to expand the accessible spectrum support and solve the missing cone pro

We proposed a method utilizing dynamic cross-relaxation energy transfer in upconversion nanoparticles, which accurately predicts the ideal excitation power to optimize depletion efficiency and overcom

We propose a high-accuracy artifacts-free single-frame digital holographic phase demodulation scheme for relatively low-carrier frequency holograms---deep learning assisted variational Hilbert quantit

The speckle structured-light-based 3D imaging technology using VCSEL projection array realizes long-distance and high-precision 3D measurement with a large field of view, which can be applied to indus

Efficient Synthetic Aperture for Phaseless Fourier Ptychographic Microscopy (ESA-FPM) breakthroughs the spatial and temporal bandwidth product of light microscopy, providing an efficient high-throughp

An accurate quantitative phase imaging (QPI) technique based on pseudo-weak object approximation is proposed to achieve 3D quantitative measurements of both small-phase objects and large-phase objects

The combination of iteration-free reconstruction, robustness to noise, and limited computational complexity makes PCA-SIM a promising method for real-time, long-term,
artifact-free super-resolution

$Adaptive optical quantitative phase imaging realizes the phase retrieval and aberration correction simultaneously in the high-speed live-cell imaging, promising the diffraction-limited imaging perfor$

Adaptive optical quantitative phase imaging realizes the phase retrieval and aberration correction simultaneously in the high-speed live-cell imaging, promising the diffraction-limited imaging perfor

Deep learning is currently prompting increasing research interests and leading to a paradigm shift from physics-based modeling to data-driven learning in the field of optical metrology

$Transport of intensity promotes a new diffraction tomography technique in three-dimensional refractive index imaging, and the volumetric refractive index can be obtained by transport of intensity diff$

Transport of intensity promotes a new diffraction tomography technique in three-dimensional refractive index imaging, and the volumetric refractive index can be obtained by transport of intensity diff

Properly trained neural network can "de-multiplex" high-resolution, spectrum-crosstalk-free phases from the composite fringe and directly reconstruct a high-accuracy absolute phase map for single-shot

We present an overview of fringe projection techniques, as well as a new and definitive classification for them, and discuss the advantages and constraints of the techniques.

We reported a realtime microscopic 3D measurememnt technique that realizes real-time 3D measurement
at 120 frames per second (FPS) with the accuracy of 8 μm.

DPC with optimal illumination scheme reconstructs quantitative phase distribution of Hela cells in vitro with isotropic resolution.

REFPM endows a 10×, 0.4 NA objective lens with final effective imaging performance of 1.6 NA, which means that it achieves the imaging resolution of 60x objective under the wide FOV of 10x objective.

We report a high-speed FPM technique based on programmable annular illuminations, which achieves the high-speed imaging results of in vitro Hela cells mitosis at a frame rate of 25Hz.

360° 3D reconstruction using a pair of planar mirrors

The first attempt of translating "computational microscopy" from concept to stand-alone optical instruments, and the work is published in Photonix

We propose an adaptive pixel-super-resolved lensfree imaging (APLI) method which can solve the compromise between lateral resolution and signal-to-noise ratio (SNR).

TIE with annular illumination achieves observation of cell division within 60 hours.

3-D RI of dynamic unstained, live C. elegans worms at a 10.6-Hz volume rate within a volume of 333μm×98μm×21μm.

Real-time acquisition of 360° 3D model of the object with overall accuracy up to 100 μm level without any instrument assistance for the first time.

Slow-motion 3D movie (10,000Hz) of the transient event reconstructed by uFTP: a bullet fired from a toy gun and rebounded from a plaster wall.

Full-FOV 3D reconstruction of unstained blood smear from FPDT, containing  ∼ 17.2 billion voxels of quantitative 3D RI data with  ∼ 20,000 blood cells over a 1.77mm2 FOV.

Digital holographic smart computational light microscope (DH-SCLM) achieves dynamic, high-contrast observation and high-precision quantitative detection of label-free Hela cells

Miniaturized multi-contrast smart computational light microscope (MMC-SCLM) is a miniaturized, smart, multimodal and quantitative microscope, it is portable and compatible with cell culture devices

High-throughput lensless smart computational light microscope (HTL-SCLM) has the simplest system architecture and achieves super-pixel resolution results of 870nm with a wide field of view of 30mm²

Special issue on “Computational imaging Technology and Applications”

Special issue on “Optical 3D Imaging and Sensing”

Cover papers of Advanced Photonics, highlight by the SPIE Newsroom

Cover paper of Advanced Photonics, and Chinese Laser Press Publishing

Inside cover paper, invited review of Laser & Optoelectronics Progress

High-resolution, non-invasive, and high-throughout phase imaging for in vitro long-term cell observations across a large field-of-view of 29.85m㎡

Multi-contrast quantitative phase smart computational light microscope (MQP-SCLM) combines seven imaging modalities in a fixed configuration to meet diverse biomedical imaging needs

The Bayesian convolutional neural network not only retrieves the phase from a single fringe pattern but also predicts uncertainties that depict the pixel-wise confidence measure of its estimation.

南理工智能计算成像实验室（SCILab）招收2024年博士研究生

三千年前，古埃及与美索不达米亚人第一次将石英晶体磨光制成宁路德透镜( Nimrud lens)，翻开了人类光学成像历史的第一页。时光流转，如今我们手持搭载着潜望式长焦镜头和AI算法芯片的智能手机就能拍摄炫丽的星空。我们正享受着光学成像技术带来的多姿多彩的绚丽生活，也一直在为了看得“更远、更广、更细、更清晰”这个永无止境的目标前赴后继。让我们共同走进南京理工大学智能计算成像实验室（SCILab...

南京理工大学智能计算成像实验室(SCILab)教师与博士后人员招聘启事

——— 南京理工大学简介 ———南京理工大学位于江苏省南京市，隶属于工业和信息化部，由江苏省，教育部，工业和信息化部三方共建的全国重点大学。其是国家首批“211工程”重点建设院校和“985工程优势学科创新平台”项目重点建设高校，2017年入选国家“双一流”建设高校。历经六十余载，学校现已建成以工为主，理、工、文、经、管、法等多学科综合配套、协调发展的特色高水平研究型大学。2021软科排名全国...

SCILab 卓尔不群“Supernova” 计划 2024年申报通知

目标：入选者应具有超强科研能力，4-5年博士毕业，培养成综合能力比肩同领域国际一流大学（MIT，UC Berkeley，Stanford，Caltech，UCLA……）

加拿大魁北克大学梁晋阳教授受邀来我实验室访问交流

应我实验室学术带头人左超教授邀请，加拿大魁北克大学国立科学研究院梁晋阳教授于11月20日来访我实验室，并在电子工程与光电技术学院（以下简称“电光学院”）B205会议室为我实验室以及电光学院师生做了题为“Coded Optical Streaking for Real-time Ultrahigh-Speed Imaging”的学术报告。报告内容丰富生动、精彩纷呈，现场氛围高涨，座无虚席。梁教...

喜报 | 我实验室教授刘永焘、博士生周顺荣获第九届江苏省光学学会青年光学科技奖

近日，江苏省光学学会公布了第九届江苏省光学学会青年光学科技奖评选成果。在这次评选中，我实验室的刘永焘教授凭借其在“多模态稀土上转换超分辨成像”领域的杰出成就荣获教师奖。同时，我实验室的博士生周顺因其“基于非干涉测量的无标记三维显微成像技术”的创新研究也荣获学生奖。此次评选共有13项研究成果在全省范围内获得表彰，值得一提的是，南京理工大学的两位获奖者都来自我实验室。这也是我实验室第五次获得江苏...

【第三十期】我实验室邀请加拿大魁北克大学梁晋阳教授作学术报告

加拿大魁北克大学国立科学研究院梁晋阳教授受实验室左超教授邀请，将于北京时间11月20日上午10:00为我实验室以及电子工程与光电技术学院同学作题为“Coded Optical Streaking for Real-time Ultrahigh-Speed Imaging”的学术讲座。该讲座由我校国际合作基地赞助支持，会议地点为电光学院B205学术会议室，腾讯会议ID为742 2989 630...

我实验室师生赴北京参加Advanced Photonics 2023智能光子学论坛

2023年10月31日至11月2日，由中国激光杂志社主办、清华大学精密测试技术及仪器全国重点实验室承办的“Advanced Photonics论坛：智能光子学”在北京顺利举办，来自全国各地的两百多名专家学者齐聚一堂，携手探讨智能光子学这一前沿领域的无限可能。我实验室师生也有幸参加了这次盛会，不仅深入学习了光子学的前沿知识，还与来自世界各地的专家学者进行了深入交流和讨论。图1 Advanced...

他山之石可以攻玉 | SCILab国际学术会议参会经验分享

你是否渴望与学界大佬面对面交流，向他请教前沿问题？你是否期待与同侪交流论文，碰撞思想火花？……学术会议是每一位同学的学术盛宴近期，我实验室于电光学院A510会议室举办了国际学术会议参会经验分享会邀请了多位具有丰富参会经验的嘉宾与大家分享经验、携手共进图1 国际学术会议参会经验分享会现场分享目录：1）为什么要参会&如何选择适合的学术会议2）参加学术会议一般需要做好哪些准备3）参加学术会议有哪...

Optica Fellow Profile | Chao Zuo

Prof. Chao Zuo, Principal Investigator of the Smart Computational Imaging Lab (SCILab), has been elected to the 2023 Class of Optica Fellows in recognition of his pioneering contributions to comput...

Chao Zuo | 左超

Ph.D, Professor

Tel: +86-25-84315587

Email: zuochao@njust.edu.cn

Nanjing University of Science and Technology (NJUST)

No. 200 Xiao Ling Wei, Nanjing, Jiangsu 210094, P. R. China

Smart Computational Imaging (SCI) Lab智能计算成像实验室

Smart Computational Imaging (SCI) Lab
智能计算成像实验室