Related Experiment Video
Updated: Jan 20, 2026
05:19
Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes
Published on: April 5, 2024
2.8K
Lossless Compression of Cytometric Data.
Anne E Bras1, Vincent H J van der Velden1
1Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Summary
Modern lossless compression algorithms significantly improve file size for cytometry data compared to standard ZIP archives. Utilizing codecs like LZMA offers substantial space savings, benefiting data storage and analysis in the field.
Area of Science:
- Bioinformatics
- Data Compression
- Cytometry
Background:
- Cytometrists commonly use ZIP archives for lossless compression of Flow Cytometry Standard (FCS) files.
- The DEFLATE algorithm within ZIP provides limited space savings for cytometry data.
- Modern lossless compression algorithms (LCAs) have the potential to outperform DEFLATE.
Purpose of the Study:
- To evaluate the effectiveness of various modern LCAs for compressing FCS files.
- To compare the compression ratios (CRs) achieved by different codecs against DEFLATE.
- To identify optimal compression strategies for cytometry data storage.
Main Methods:
- Evaluated 21 codecs on 167,131 publicly available FCS files.
- Focused on floating-point data generated by modern cytometers.
- Compared compression ratios (CRs) achieved by different algorithms and ZIP compression levels.
Main Results:
- ZPAQ, BCM, and LZMA achieved superior CRs (median 0.469, 0.523, 0.545 respectively) for floating-point data.
- DEFLATE-based codecs achieved a median CR of 0.728 under optimal conditions.
- Shifting from ZIP to LZMA improved median CR by 25% for floating-point data.
- Higher ZIP compression levels offered near-optimal CR for most digital cytometry files.
Conclusions:
- Modern LCAs offer significant space savings for cytometry data beyond current ZIP compression.
- LZMA is a practical and well-supported alternative to DEFLATE for cytometry data compression.
- Adopting advanced compression techniques can lead to substantial benefits in data management and analysis within cytometry.
Related Concept Videos
01:23Lossless Lines
557
In electrical engineering, a lossless transmission line is characterized by a purely imaginary propagation constant and a resistive characteristic impedance. The ABCD parameters, which describe the relationship between the input and output voltages and currents, indicate an equivalent π circuit with an imaginary series impedance and a shunt admittance. This results in a transmission line that, when the product of the phase constant (beta) and the length of the line is less than pi, exhibits...
557
01:21Boundary Conditions: Lossless Lines
427
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
427
01:27Traveling Waves: Lossless Lines
468
The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx and a shunt capacitance CΔx.
468
01:23Behavior of Concrete Under Compressive Load
607
Concrete exhibits specific behaviors under different compressive loads. Understanding this is crucial for understanding its structural integrity. When concrete undergoes uniaxial compression, it tends to develop cracks that run parallel to the direction of the force. These parallel cracks stem from localized tensile stresses that occur perpendicular to the compression direction. Additionally, angled cracks may appear due to the formation of shear planes.
As the concrete specimen fractures under...
As the concrete specimen fractures under...
607
00:59How Data are Classified: Numerical Data
36.8K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
36.8K
01:11How Data are Classified: Categorical Data
42.9K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
42.9K