Rapid permeation of sucrose into rice callus cells as a component of cryoprotectant solutions
Data files
Apr 15, 2026 version files 6.28 GB
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CARS_Experiments_Analysis_Raw_Data.zip
6.24 GB
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README.md
2.47 KB
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Regrowth_Data.zip
41.73 MB
Abstract
Sucrose was first included in plant vitrification solutions (PVS) in 1989 and has since remained a primary component of most formulations. Although sucrose is known to stabilize cell membranes, prevent protein denaturation, and promote cellular dehydration, its specific role in successful plant cryopreservation remains unclear. The study reported here evaluates sucrose permeation into rice callus cells for each step of a model cryopreservation cycle. By deuterating sucrose, its C–D bond can be tracked using coherent anti‑Stokes Raman scattering microscopy, a highly sensitive, non‑invasive vibrational microscopy technique, thus converting the molecule into its own imaging agent. Results show that sucrose permeates cells quickly, within 6 s of initial exposure, and takes only 20‑30 s to reach steady‑state concentration. Sucrose also permeates the cells regardless of pre‑existing intracellular sucrose from prior exposure in the model cryopreservation cycle. Beyond the permeation of sucrose as a cryoprotecting agent, the results presented here suggest that this method could measure permeation by sucrose into biological tissue or biomaterials, and can be extended to other molecules, such as the permeation of herbicides or drugs, showing kinetics and sequestration into live cells and tissue.
This README file was generated on 01 April 2026 by Albert Ochoa-Castillo.
General information
Dataset for Imaging sweetness: Rapid permeation of sucrose into rice callus cells as a component of cryoprotectant solutions
Date of data collection: 11 June 2024 to 05 September 2025
Geographic location of data collection: Fort Collins, CO, United States, and Aurora, CO, United States
Data & file overview
Folder List:
- CARS Experiments_Analysis and Raw Data (CARS_Experiments_Analysis_Raw_Data.zip)
- Regrowth Data (Regrowth_Data.zip)
Relationship between folders: Data provided here is divided into two categories: CARS microscopy data and regrowth.
The folder “CARS Experiments_Analysis and Raw Data” contains the analysis and raw data for all coherent anti-stokes Raman scattering (CARS) microscopy experiments.
The folder "Regrowth Data" contains all rice callus cell images collected.
Methodological information
Description of methods used for the collection/generation of data:
The primary method used was coherent anti-Stokes Raman scattering (CARS) microscopy.
A full description of the experimental protocol is available in the full paper’s methods section.
Regrowth images were collected using an iPhone 14. The brightness and contrast of these regrowth images was not adjusted. Images are presented as is in their original state.
Methods for processing the data: All microscopy images present in the main text, supplementary information, and this dataset were analyzed using Fiji. First, the native file formats (.oib for CARS data) were converted to .tiff files for ease of use. Next, a Virdis color scheme was applied to CARS microscopy data. Finally, regions of interest (ROIs) were generated to identify individual callus cells and, for CARS data specifically, portions of the background. Any current version of Fiji can be used to analyze the raw data; however, we recommend downloading the Stackreg plugin to make the analysis of unstable images easier.
Additional information about how the data processed with Fiji is further analyzed is provided in each folder’s own README file. The R code present is compatible with version 2022.12.0.
Environmental/experimental conditions: All experiments were performed at 25°C.
People involved with sample collection, processing, analysis, and/or submission: Albert Ochoa-Castillo
