Imaging Intelligence LaboratorySeoul National University
Imaging Intelligence LaboratorySeoul National University

seungahlee@snu.ac.kr
Department of Mechanical Engineering, Seoul National University

Resources

Code, datasets and hardware designs released by the laboratory, and the courses taught by Prof. Seung Ah Lee.

Code

Implementations accompanying published papers.

6 repositories

Datasets

5 datasets

Phase-mask height profile and measured point-spread functions used in the integrated forward and inverse network.
Lensless cameras

WiderCam

Wide field-of-view lensless camera dataset: 25,000 paired display-capture measurements (24,000 train, 1,000 test) from a compact phase-mask camera (Sony IMX708 sensor) imaging MIRFlickr images shown on an OLED display. Raw captures are 4608 x 2592, resized to 480 x 270 for training. Released with IFIN.

Size
6.57 GB (WiderCam.zip, Google Drive)
Format
ZIP of paired lensless measurements and aligned ground-truth images
Paper
Bae et al., ECCV 2026
Project page
iilab.io/IFIN

Image: D. Bae et al., ECCV 2026

Open dataset iilab.io/WiderCam

Color FP reconstruction of a Pap smear from the smartphone microscope, with zoomed regions.
Computational microscopy

Smartphone FPM example images

Raw image stacks captured with the smartphone Fourier ptychographic microscope (display-screen illumination) for a blood smear, a phase target and a USAF resolution target, with the Android app (APK) used to acquire them.

Format
Monochrome JPG image sequences (about 1-2 MB each), APK
Paper
K. C. Lee et al., ACS Photonics 2021

Image: K. C. Lee et al., ACS Photonics 2021

Open dataset Google Drive folder

Part of a raw in vivo speckle frame from the public RSSI dataset (mouse brain 2).
Dynamic speckle imaging

RSSI in vivo mouse brain speckle images

Raw single-shot rolling-shutter speckle images of mouse cerebral blood flow (two imaging sessions) used in the RSSI paper, the data cited in its data availability statement.

Size
2 files, 18 MB each
Format
TIFF (Basler acA4024-29um)
Paper
Yi et al., Optica 2022

Image: C. Yi et al., Optica 2022 (IIL-SNU/RSSI repository)

Open dataset github.com/IIL-SNU/RSSI/tree/main/data

Raw low-resolution images of one tissue field under individual LEDs: bright-field frames (top) and dark-field frames (bottom), the input to FP reconstruction.
Computational microscopy

FPVS example FPM data

Example full-field-of-view Fourier ptychographic microscopy inputs and reconstructions for the virtual staining code.

Size
2 files, about 7 MB each
Format
MATLAB .mat
Paper
K. C. Lee et al., J. Phys. Photonics 2026

Image: IIL, FPVS example data (IIL-SNU/FPVS repository)

Open dataset github.com/IIL-SNU/FPVS/tree/main/data

Computational microscopy

Digital staining literature database

Table of all articles covered in the digital staining review with their categorizations, published as the review's supplementary files.

Format
Supplementary ZIP files (Springer)
Paper
Kreiss et al., PhotoniX 2023

Open dataset Publisher supplementary files

Tools and hardware

Designs and control code used in the laboratory's optical setups.

GitHub organization

github.com/IIL-SNU

All public repositories of the laboratory, including code, 3D models and device control software.

Open on GitHub

Courses

Courses taught by Prof. Seung Ah Lee at Seoul National University (since 2025) and Yonsei University (2018–2025).

Seoul National University, Mechanical Engineering

  • M3228.003400Undergraduate

    Optical Physics and Design

    광학 이론 및 설계

    Core theories of optics (geometrical, wave and Fourier optics) with both physical and numerical analysis. Students learn to design and analyze imaging systems such as camera optics, and apply these principles to measurement, inspection, automation and vision in mechanical engineering, through lectures, programming/design exercises and a hands-on optical design project.

    Fall 2025Spring 2026Fall 2026

  • M2794.009700Graduate

    Computational Optical Imaging

    계산광학영상기법

    An introduction to modern computational optical imaging that bridges optical physics with computation and machine learning. Covers how images are formed and computationally reconstructed across microscopy, lensless imaging, CT and deep-tissue imaging, along with differentiable optics, physics-based AI and optical sensing for autonomous systems, through simulations, Colab exercises and reading of current research.

    Fall 2025Fall 2026

Yonsei University, Electrical and Electronic Engineering, 2018–2025

  • EEE2030Electromagnetics (1)Core undergraduate course on the fundamentals of electric and magnetic fields, from vector analysis and electrostatics to magnetostatics and Maxwell's equations.Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Spring 2024
  • EEE6422Fourier Optics and Imaging TheoryGraduate course on wave optics and imaging theory: diffraction integrals, the angular spectrum, optical transfer functions, and image sensors and noise, with computational exercises.Spring 2023
  • EEE3548Intro to BioengineeringUndergraduate introduction to engineering for biology and medicine, centered on biomedical imaging: imaging theory, CT, MRI, optics and microscopy, and biophotonics.Spring 2021, Spring 2023
  • EEE2010Basic Circuit TheoryIntroductory undergraduate course on the analysis of electric circuits.Spring 2019, Spring 2022
  • EEE7426Optical Imaging Technologies for BiomedicineGraduate course on optical imaging for biomedical applications: imaging optics and diffraction, microscopy, phase and computational microscopy, speckle imaging and deep-tissue imaging, with a literature-review component.Fall 2019, Fall 2021, Spring 2024
  • EEE643xModular Courses in Biomedical EngineeringSpring 2020
  • EEE6421Biomedicine and Interactive MediaSpring 2020
  • EEE4610Capstone DesignTeam-based engineering design project course for senior undergraduates.Spring 2020
  • EEE7401Bioelectric PhenomenaGraduate course on the physical basis of electrical signals in cells and tissues.Fall 2018