Detail of Fig1_BY2_HR_PlasMemG
Project
SSBD:Repository
Title
Bright-field and confocal images of transgenic tobacco BY-2 cells with Histone-RFP and PlasMem Bright Green staining
Description
This dataset was acquired to establish the deep-learning model for the virtual staining of plant cell structures. It contains stacked images of transgenic tobacco BY-2 cells (BY-HR) with the cell nucleus marker Histone-RFP (red) and the plasma membrane stained using PlasMem Bright Green (green). The file includes 193 frames, with the first 150 used for model training and the remaining 43 used for testing in the associated study. Each frame combines bright-field microscopy with corresponding fluorescence images to facilitate virtual staining analysis. Channel1; Histone-RFP, Channel2; PlasMem Bright Green, Channel3; bright field. This dataset is the same as the one registered on Figshare. https://doi.org/10.6084/m9.figshare.27247629.v1
Release, Updated
2026-09-30
License
CC BY 4.0
Kind
Image data
File Formats
.tif
Data size
4.5 GB
Datatype
-
Molecular Function (MF)
Biological Process (BP)
Cellular Component (CC)
plasma membrane nucleus
Biological Imaging Method
spinning disk confocal microscopy
(
Fbbi:00000253
)
X scale
0.56 micrometer
Y scale
0.56 micrometer
Z scale
-
T scale
-
Image Acquisition
Experiment type
-
Microscope type
-
Acquisition mode
-
Contrast method
-
Microscope model
-
Detector model
-
Objective model
-
Filter set
-
Summary of Methods
Ichita M, Yamamichi H, Higaki T. Virtual staining from bright-field microscopy for label-free quantitative analysis of plant cell structures. Plant Molecular Biology. 2025;115(1):29.
Related paper(s)
Contact
Takumi Higaki
, Kumamoto University
, Graduate School of Science and Technology
, Graduate School of Science and Technology
Contributors
OMERO Project
Source