PC-bzip2: a phase-space continuity-enhanced lossless compression algorithm for light-field microscopy data  

作　　者：Changqing Su Zihan Lin You Zhou Shuai Wang Yuhan Gao Chenggang Yan Bo Xiong 

机构地区：[1]Peking University,National Engineering Research Center of Visual Technology,Beijing,China [2]Hangzhou Dianzi University,School of Automation,Hangzhou,China [3]Medical School of Nanjing University,Nanjing,China [4]Hangzhou Dianzi University,School of Communication Engineering,Hangzhou,China [5]Lishui Institute of Hangzhou Dianzi University,Lishui,China

出　　处：《Advanced Photonics Nexus》2024年第3期40-49,共10页先进光子学通讯（英文）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.62371006,61931008,U21B2024,and 62071415);the National Key Research and Development Program of China(Grant No.2020YFB1406604);the Zhejiang Provincial Natural Science Foundation of China(Grant Nos.LDT23F01011F01,LDT23F01015F01,and LDT23F01014F01);the“Pioneer”and“Leading Goose”R&D Program of Zhejiang Province(Grant No.2022C01068);the China Postdoctoral Science Foundation(Grant Nos.2023TQ0006 and GZC20230057).

摘　　要：Light-field fluorescence microscopy(LFM)is a powerful elegant compact method for long-term highspeed imaging of complex biological systems,such as neuron activities and rapid movements of organelles.LFM experiments typically generate terabytes of image data and require a substantial amount of storage space.Some lossy compression algorithms have been proposed recently with good compression performance.However,since the specimen usually only tolerates low-power density illumination for longterm imaging with low phototoxicity,the image signal-to-noise ratio(SNR)is relatively low,which will cause the loss of some efficient position or intensity information using such lossy compression algorithms.Here,we propose a phase-space continuity-enhanced bzip2(PC-bzip2)lossless compression method for LFM data as a high-efficiency and open-source tool that combines graphics processing unit-based fast entropy judgment and multicore-CPU-based high-speed lossless compression.Our proposed method achieves almost 10%compression ratio improvement while keeping the capability of high-speed compression,compared with the original bzip2.We evaluated our method on fluorescence beads data and fluorescence staining cells data with different SNRs.Moreover,by introducing temporal continuity,our method shows the superior compression ratio on time series data of zebrafish blood vessels.

关 键 词：light-field microscopy lossless compression phase space entropy judgment. 

分 类 号：TN9[电子电信—信息与通信工程]