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

We present PDL-TIQPI, a physics-informed deep learning framework that unites physical models with deep learning to overcome the trade-off between accuracy and efficiency in partially coherent phase re

We propose an aberration-corrected quantitative phase imaging method based on annular differential phase contrast illumination, which achieves high-fidelity quantitative phase imaging and offers a nov

$We propose an advanced cellular imaging technique that integrates fluorescence imaging with intensity diffraction tomography, resolving the long-standing trade-off between long-term imaging and high s$

We propose an advanced cellular imaging technique that integrates fluorescence imaging with intensity diffraction tomography, resolving the long-standing trade-off between long-term imaging and high s

We propose an advanced single-photon imaging technique that combines photon sequence estimation with adaptive Gaussian filtering to mitigate photon pile-up effects and achieve accurate 3D imaging with

We propose a lensless imaging method with programmable Fresnel zone aperture (FZA), termed LIP, that is capable of achieving a 2.5x resolution enhancement and a 3 dB improvement in signal-to-noise rat

A learning-based ultrafast 3D imaging technique, termed single-shot super-resolved FPP (SSSR-FPP), that is capable of reconstructing 3D images of non-repetitive dynamic events at 100,000 fps.

This technique is proposed for high-throughputmicroscopy with super-resolution, aberration correction and broader field-of-view, advancing dynamicphase retrieval in biomedical applications.

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...

南京理工大学智能计算成像实验室（SCILab）诚邀你参与2026级硕士研究生开放日

01 南理工SCILab简介南京理工大学智能计算成像实验室（SCILab: www.scilaboratory.com）致力于研发新一代计算成像与传感技术，在国家重大需求牵引及重点项目支持下开展新型光学成像的机理探索、工程实践以及先进仪器的研制工作，并开拓其在光学显微、光学计量、生命科学、生物医药、智能制造、遥感监测以及国防安全领域的前沿应用。通过将前端光学调控与后端信息处理有机结合，将不可...

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...

APP | 南京理工大学智能计算成像实验室：突破反射式FPM校准瓶颈：基于SSIM的高效暗场孔径校正方法

研究团队提出了基于结构相似度（Structural Similarity Index, SSIM）的高效暗场孔径失配校正法——反射FPM暗场失配校正(dmc-rFPM)，研究成果以“Efficient misalignment correction method for dark-field aperture in reflective Fourier ptychographic microsco

波兰华沙理工大学专家团队访问我实验室并开展学术交流

近日，波兰华沙理工大学Malgorzata Kujawinska教授、Arkadiusz Kus助理教授及Michal Ziemczonok博士后受南京理工大学智能计算成像实验室负责人左超教授邀请访问我实验室，于2025年11月24日至28日顺利开展了为期五天的深度学术交流与联合实验。

我实验室成员参加图像科学与工程分会2025学术大会并作报告

2025年11月14日至16日，中国仪器仪表学会图像科学与工程分会2025学术大会暨学术报告会在福建省泉州市顺利召开，本次大会中国仪器仪表学会图像科学与工程分会主办、闽南理工学院承办，来自全国高校、科研院所及行业企业的近300位专家学者、青年科研人员与企业代表齐聚一堂，共探图像科技前沿。

我实验室成员参加Advanced Photonics Conference 2025

2025年11月14至16日，由中国激光杂志社、香港理工大学与国际光学工程学会（SPIE）联合主办的Advanced Photonics Conference 2025 于香港理工大学召开。会议设置4个专题分会场，聚焦智能光子学、量子光学、光学成像、纳米光子学、非线性光学等诸多前沿成像领域，提供与全球顶尖同行展开深度学术对话，全方位展示前沿技术创新成果的宝贵机会。

陈钱、左超教授团队封面文章 | 定量相位成像的范式革新：从物理建模到物理驱动深度学习

《光学学报》于2025年45卷第19期推出“AI光学：智能成像”专题。南京理工大学陈钱、左超教授团队特邀综述“定量相位成像的范式革新：从物理建模到物理驱动深度学习”被选为本期封面文章。

捷报连连：祝贺我实验室博士生陈文武荣获2025年南京理工大学青年五四奖章

捷报频传，振奋人心！近日，2025年南京理工大学“青年五四奖章”评选结果正式公布，我实验室2023级博士研究生陈文武凭借扎实的科研能力与突出的综合表现，成功荣获“南京理工大学青年五四奖章（学生）”称号，为实验室赢得了新的荣誉！青年五四奖章是共青团组织授予优秀青年的最高荣誉，旨在树立政治进步、品德高尚、贡献突出的优秀青年典型，展现新时代南理工青年的精神品格和价值追求。

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