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 exceed 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

BP-TIDT circumvents the need for matched illumination under high NA conditions, enabling high-resolution label-free 3D imaging of live cells at an unprecedented speed of 15 volumes per second.

Deep-learning-enabled multiplexed fringe projection profilometry (DLMFPP) allows to achieve high-speed 3D imaging at near-one-order of magnitude-higher 3D frame rate with low-speed cameras.

This technique enables high-throughput 3D images of all biological cells across the entire field of view with near-uniform resolution.

The cover image showcases the process of capturing high-resolution images of high-speed targets using a camera array. During this process, R/G/B wavelength lasers are used to illuminate the racing car

Structured illumination microscopy based on dichotomy-correlation parameter estimation (dCOR-SIM) can achieve high-accuracy parameter estimation with an efficiency ~10 times better than conventional s

The article introduces a novel deep learning-based technique for quantitative phase microscopy with pixel super-resolution capability, which holds promise for various fields such as drug discovery, c

The paper interprets existing synthetic aperture technologies within the broad framework of computational imaging, outlining the research trajectory of far-field optical synthetic aperture based on co

Fourier ptychography (FP) technique is a promising super-resolution tool in non-interferometric synthetic aperture research, but it suffers from field-of-view (FOV) attenuation and the speckle noise i

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.

博士生、博士后与青年教师招生招聘 | 南理工智能计算成像实验室

一、南京理工大学简介南京理工大学是隶属于工业和信息化部的全国重点大学，学校由创建于1953年的新中国军工科技最高学府中国人民解放军军事工程学院（简称“哈军工”）分建而成，经历了中国人民解放军炮兵工程学院、华东工程学院、华东工学院等发展阶段，1993年更名为南京理工大学。1995年，学校成为国家首批“211工程”重点建设高校；2000年，获批成立研究生院；2011年，获批建设“985工程优势学...

南理工智能计算成像实验室（SCILab）2025年接收推荐免试硕士（含直博生）研究生招生公告

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。现在，我们诚挚邀请有志之士加入南京理工大学电光学院智能计算成...

南理工智能计算成像实验室（SCILab）招收2025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...

南理工智能计算成像实验室（SCILab）2024年度总结及表彰大会圆满举行

南理工智能计算成像实验室（SCILab）2024年度总结2025年1月18日下午13点，南京理工大学智能计算成像实验室“回首熠熠耕耘路，砥砺前行启新研”2024年度总结及表彰大会在致知楼二楼报告厅顺利举办。实验室全体教师、同学齐聚一堂，共同回顾过去一年的成果，展望未来发展。大会由实验室范瑶博士后主持。大会合影范瑶博士后主持会议开场会议伊始，全体参会人员观看了习近平总书记2025年新年贺词视频...

榜样力量｜SCILab 2024年度光荣榜公布

逐梦扬帆，砥砺奋进。SCILab有这样一群杰出的追梦者，他们心怀壮志，斗志昂扬；他们踔厉奋发，笃行不怠。用拼搏的汗水浇灌出希望之花，以昂扬之姿绽放热情的绚丽光彩。他们用骄人的成绩彰显青春活力，成为学习的榜样力量。梦虽遥，追则能达；愿虽艰，持则可圆。让我们携手共进，以他们为灯塔，逐光前行，向光而生！图文 | 任乐、束业峰复审 | 左超终审 | 徐峰

【Light: Advanced Manufacturing】我实验室论文入选Light: Advanced Manufacturing封面

「封面解读」基于像差校正的光强传输定量相位成像技术：南京理工大学和合作单位研究者提出了一种高通量成像技术——基于像差校正的光强传输定量相位成像。该技术融合了像差校正与超分辨率成像，可适配大像素尺寸传感器以实现宽视场成像，并将成像分辨率提升至两倍。该成果有望在生物医学和癌症诊断等具有高通量成像需求的领域得到广泛应用。

我实验室年终评奖评优工作圆满结束

为表彰先进，树立典范，智能计算成像实验室于1月8号下午顺利开展了评奖评优工作，评选设置了科研突出贡献奖、工程突出贡献奖、学术交流贡献奖、创新创业贡献奖、团队服务贡献奖、长江后浪奖、本科培养贡献奖、最佳周报奖、笔扫千军审稿奖、出口成章报告奖、敢为人先奖、“五一”劳动奖、勤奋争先奖、春风化雨奖、青出于蓝奖、梦笔生辉奖、求是献身奖、一键三连忠粉奖、文化建设突出贡献奖19项奖项。此次评选活动旨在激励...

【学术讲座预报】中国科学技术大学张斗国教授作学术讲座

中国科学技术大学张斗国教授受实验室左超教授邀请，将于北京时间1月8日下午14:30为我实验室以及电子工程与光电技术学院同学作题为“单颗粒光学成像及其应用”的学术讲座。会议地点为电光学院B205学术会议室，腾讯会议ID为412-7381-1780。欢迎感兴趣的同学前来交流！交流地点：电光学院B205学术会议室腾讯会议ID：412-7381-1780经历简介：张斗国，中国科学技术大学物理学院、...

祝贺我实验室成员获得南理工电光学院2024年院长奖章、金质奖章、为先奖

2024年度，南理工电光学院为了认真总结一年来学院学生工作的经验，切实加强学生队伍建设，表彰先进，使优秀集体先进性和优秀学生的模范带头作用得到充分的体现和发挥，促进优秀集体和个人培育，组织开展了2024年评优申报工作。评选范围涵盖院长奖章、金质奖章、薪火电光为先奖、和谐电光为先奖、健康电光为先奖、活力电光为先奖、科技电光为先奖、奉献电光为先奖、人文电光为先奖九大奖项。此次评选中，我实验室成员...

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