Detail of Fig7_vs_dead
Project
SSBD:Repository
Title
Virtually stained images of dead tobacco BY-2 cells
Description
Plasma membrane virtual staining images generated from Fig7_bf_dead using the deep learning-based 2-D segmentation function in AIVIA 9.8.1 (RCA-UNet), trained on Fig1_BY2_HR_PlasMemG. The dataset contains 1,200 individual-cell images; 900 were used for training and 300 for testing the cell viability classifier. GLCM texture features were extracted using ImageJ LPX Features and classified with random forest (R package randomForest, default parameters).
Release, Updated
2026-09-30
License
CC BY 4.0
Kind
Image data
File Formats
.tif
Data size
46.0 MB
Datatype
-
Molecular Function (MF)
Biological Process (BP)
Cellular Component (CC)
plasma membrane
Biological Imaging Method
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