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Advanced filters: Author: Seungjae Han Clear advanced filters

Statistically unbiased prediction enables accurate denoising of voltage imaging data

Statistically unbiased prediction utilizing spatiotemporal information in imaging data (SUPPORT) is a self-supervised deep learning approach to accurately denoise voltage and calcium imaging data while preserving true dynamic signals.

Minho Eom
Seungjae Han
Young-Gyu Yoon
ResearchOpen Access18 Sept 2023
Nature Methods

Volume: 20, P: 1581-1592
Self-supervised video processing with self-calibration on an analogue computing platform based on a selector-less memristor array

A 32 × 32 analogue memristor crossbar array-based platform can form the basis of an edge-computing system that separates video foreground and background in real time without pretraining or compensation algorithms.

Hakcheon Jeong
Seungjae Han
Shinhyun Choi
Research08 Jan 2025
Nature Electronics

Volume: 8, P: 168-178
Diverse cell-specific patterns of alternative polyadenylation in Drosophila

Single cell data provides cellular resolution on gene expression, but is rarely mined for isoforms. Analysis of 3' isoforms across ~250 Drosophila cell types reveals the cellular bases for numerous tissue-specific 3' programs, identifies new 3' programs, and nominates candidate trans-acting factors

Seungjae Lee
Yen-Chung Chen
Eric C. Lai
ResearchOpen Access13 Sept 2022
Nature Communications

Volume: 13, P: 1-16