Fluorescence and confocal micrsocopy were used to capture images from three different MHEC preparations for quantification of green, red, and overlapped green-red signals.
Quantification of green space patterns is a prerequisite to understanding green space changes, and is essential for monitoring and assessing green space functions.
Five non-overlapping sections were taken from each heart for quantification of green fluorescence (CTP-6CF) expressed as a percentage of total area (blue; stained for actin).
Relative quantification of green fluorescence was measured using ImageJ (NIH) software.
Quantification of green cone weight is a method used for the rapid experimental assessment of hop yield.
For quantification, the green (FITC-Galacto-RGD2) and red (rabbit anti-human integrin β3 antibody) channels in each image was exported into the software program.
Images were recorded using an Axiocam MRm (Carl Zeiss SAS), and quantification of green and red fluorescence was performed using individual pixel quantification with ImageJ software (NIH, Bethesda, MD, USA) on three independent micrographs per well.
The GFP image-based area (μm) measurement (Additional file 1: Figure S1a) correlates with increased cell number counts per spheroid, confirming efficient 3D-microtissue growth quantification using green microtissue area determination (Additional file 1: Figure S1b).
Quantifications of green and red levels were performed using individual pixel quantification with ImageJ software on three independent micrographs per well.
This study uses the information derived from a computational research for the design of accelerated life testing (ALT) to implement experimentally the step stress methodology for the quantification of frozen green beans (Phaseolus vulgaris, L). colour and starch degradation kinetics.
