Week 10 HW: Imaging and Measurement

Homework: Final Project

1. Measurement Object (Elements to be Measured)

In this project, I will focus on measuring the following three interrelated indicators to verify the success of the conversion of heart rate data into biological signals:

A luorescence Emission Intensity: This is a core measurement item. It directly corresponds to the intensity or frequency of the heartbeat signal. By measuring the brightness of fluorescence within a unit area or volume, it verifies whether the biological system has generated corresponding visual feedback based on the input heartbeat data.

B Cell metabolic state/Optical Density (OD600) Measures the growth concentration of host cells (such as Escherichia coli) carrying heartbeat information. This is done to eliminate the variable of “increased fluorescence due to an increase in cell numbers”, ensuring that the change in fluorescence intensity is solely caused by the differences in protein expression driven by the heartbeat data.

2. Technologies & Detailed Description

A. Microplate Fluorescence Analysis Technique used: Enzyme-linked immunosorbent assay (ELISA) plate reader Detailed description: I will place the biological samples representing different heart rate profiles (such as heart rate data under different frequencies and emotional states) in a 96-well plate. Using a microplate reader, quantitative detection will be conducted at specific excitation wavelengths (such as the typical 488nm for GFP) and emission wavelengths (such as 510nm). Data processing: Obtain the relative fluorescence units (RFU) data and conduct a linear regression analysis with the original heart waveforms. If the change curve of RFU is highly correlated with the change in heart rate, it indicates that the data implantation was successful.

B. Quantitative Live-cell Imaging Techniques used: Confocal Microscopy or Fluorescence Microscopy Detailed description: If the heart rate data is designed to be spatially distributed within the biological tissue (for example, simulating the fluctuating trajectory of an electrocardiogram), I will use confocal microscopy to capture the fluorescence distribution within the sample. Operation details: Utilize the Z-stack function of the microscope for three-dimensional scanning, and measure the spatial distribution density and intensity gradient of the fluorescence.

Homework: Waters Part I — Molecular Weight

3 Answer: No. Reason: The individual isotopic peaks are not resolved in this mass spectrum for a protein of this size (≈28kDa). The spacing between isotopic peaks would be 1/z, which is approximately 0.05m/z. Due to the instrument’s resolution limit or natural peak broadening, these peaks merge into a single envelope. Therefore, the charge state cannot be determined by observing isotope spacing and must be calculated using the adjacent charge state approach.