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

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 2023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……）

“南京理工大学智能计算成像研究院”正式启用

2020年11月16日，“南京理工大学智能计算成像研究院”位于南京市建邺高新区的办公地点正式启用。 “南京理工大学智能计算成像研究院”是南京理工大学工信部重点实验室平台、教育部长江学者创新团队、南京市建邺高新区、南京锆石光电科技有限公司合作共建的开放型、国际化新型研发机构，是对南京市“两落地，一融合”的快速响应和践行。研究院以南京理工大学智能计算成像研究院有限公司为运营主体，搭建技术研...

【南京理工大学】亲爱的南理工，70周岁生日快乐！

今天，南京理工大学迎来70华诞，让我们一同送上祝福生日快乐！

我实验室成员赴深圳参加第八届全球光电学术会议

2023年9月5-8日，第八届全球光电学术会议（OGC2023）在深圳顺利召开。本次会议由IEEE光子学会广东分会主办，南方科技大学电气与电子工程系承办，Light:Science & Applications（以下简称Light）与南京理工大学联合承办。光电领域的国际学者、研究人员、从业者等齐聚一堂，围绕光学、光通讯、激光、红外、光纤传感等10个专题开展深入探讨。图1 南方科技大学沈平教授...

我实验室博士后范瑶获得国家自然科学基金青年科学基金项目资助

近日，2023年度国家自然科学基金项目正式发布，我实验室博士后范瑶获得国家自然科学基金青年科学基金项目（以下简称“青年基金”）资助。青年基金是国家自然科学基金委员会针对青年科学家开展的一项资助计划，旨在鼓励青年科学家勇攀科学高峰，开展创新性、高水平的科学研究，推动我国科技进步和社会发展。作为国家科学基金规模最大、扶持范围最广、技术创新最重要的资助项目之一，青年基金不仅对青年科学家进行资助，更...

【钟声新闻网】ACS Photonics报道我校电光学院陈钱、左超教授团队在计算光学显微成像领域重要研究进展

近日，我校电子工程与光电技术学院陈钱教授、左超教授课题组提出了一种全新的无标记、高分辨率三维衍射层析显微成像技术。研究成果以“Quasi-Isotropic High-Resolution Fourier Ptychographic Diffraction Tomography with Opposite Illuminations”为题发表在光学期刊ACS Photonics上，并当选为期...

2023“锦绣江苏”“微纳卫星制造与计算光学成像前沿”国际暑期学校圆满落幕

2023年8月，南京理工大学迎来了40名来自孟加拉国、巴基斯坦、哈萨克斯坦、也门、阿尔及利亚等国的本科生、研究生，他们充满期待地参加了由江苏省教育厅主办、南京理工大学承办的2023“锦绣江苏”“微纳卫星制造与计算光学成像前沿”国际暑期学校。图1 2023年“锦绣江苏”国际暑期学校-南京理工站开班仪式8月20日的开班仪式上，学校党委副书记廖文和发表了极具感染力的欢迎辞。之后，我实验室副教授孙佳...

【南京理工大学教务处】我校在2022年江苏省优秀毕业设计（论文）评选中获佳绩

近日，江苏省教育厅公布了2022年江苏省普通高校本专科优秀毕业设计（论文）评选结果，我实验室硕士生赵航的论文“基于深度学习的实时单帧结构光三维成像系统研究”（指导教师：冯世杰）荣获三等奖。南京理工大学教务处全文报道如下：近日，江苏省教育厅公布了2022年江苏省普通高校本专科优秀毕业设计（论文）评选结果，我校推荐作品获优秀毕业设计（论文）一等奖5项、二等奖2项、三等奖8项以及团队优秀毕业设计（...

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