IBIL

About Our Group

Our research group was established in 2025 at Harbin Institute of Technology (Shenzhen). As enthusiasts of interdisciplinary research between computer science and biomedicine, we focus on developing advanced algorithms and integrated tools for facilitating healthcare, particularly in microscopy image processing and its downstream analysis.

Over the years, we have established close collaborative relationships with numerous research institutions both domestically and internationally, achieving a series of breakthroughs in quantitative microscopy and intelligent endoscopy. Our research findings have been published in top international academic journals such as Nature Communications. We are open to any potential corporations.

From Nature Portfolio

Latest News

Feb 2025:

One paper about quantitative microscopy was accepted by Nature Communications!

Jan 2025:

One paper about super-resolution was accepted by ISBI 2025!

Jan 2025:

We started our IBIL group at HITSZ!

Research Areas

"Imaging"

In this area, we are committed to improving the quality of fluorescent microscopy, breaking the imaging limitations caused by physical diffraction limits and laser phototoxicity with generative models. Enhanced image can be used to support downstream tasks such as quantitative biology.

"Counting"

Seeing is believing, but we need to describe what we see strictly. Thus we are developing learning-based algorithms for extracting structures in microscopy images. Here "counting" includes not only collecting the number of target cells but also profiling the boundary of cellular contours.

"Integrating"

Integrating advanced algorithms of microscopy analysis with existing workflow of biomedical studies is crucial for the value of applied science. We are working closely with interdisciplinary reasearch groups and exploring high- throughput frameworks in IDEA biomedicine.

Selected Achievements

Cell lineage-resolved embryonic morphological map

Published at Nature Communications in 2025

Authors: Guoye Guan, Zelin Li, Yiming Ma, Pohao Ye, Jianfeng Cao, et al.

Overview: This research revealed signaling associated with cell fate and size asymmetry through cell lineage-resolved embryonic morphological mapping.

ISBI

Reconstruct Dense Live-Cell Microscopy Images

Published at ISBI in 2025

Authors: Jianfeng Cao, Bin Duan, Hong Yan

Overview: This study developed methods for reconstructing dense live-cell microscopy images via learning continuous fluorescence fields.

CShaperApp: Cell Morphology Analysis

Published at Quantitative Biology in 2024

Authors: Jianfeng Cao, Lihan Hu, Guoye Guan, et al.

Overview: This work presented CShaperApp, a tool for extracting and analyzing cellular morphologies of developing Caenorhabditis elegans embryo.

Intelligent surgical workflow recognition

Published at Nature Communications in 2023

Authors: Jianfeng Cao, Hon-Chi Yip, Yueyao Chen, et al.