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Exponential, Standard
The fit solves for the amplitude
A
, the time constant
τ
for each component
i
, and the common parameters, the slope
m
and constant
y
-offset
C
for each component
i
.
The recommended fitting method is Chebyshev.
EXPONENTIAL, STANDARD
=
n
∑
i
= 1
A i e
–
t
⁄ τ
i
+
C
This is the most basic function used to fit changes in current or voltage that are controlled by one or more first-order processes. The fit solves for the amplitude
A
, the time constant
τ
, and the constant
y
-offset
C
for each component
i
.
The recommended fitting method is Chebyshev.
EXPONENTIAL, WEIGHTED
f t
=
K
0
⎜
⎝
⎛
n
∑
i
=
1
f i e
–
K i t
⎟
⎠
⎞
+
C
This function is identical to the constrained exponential function except that the sum of the
f i
components is not constrained to 1.
The fit solves for the proportion (amplitude)
f
, the rate constant
K
, the “weight”
K0
and the constant
y
-offset
C
for each component
i
.
The recommended fitting method is Levenberg-Marquardt.
EXPONENTIAL, WEIGHTED/CONSTRAINED
f t
=
K
0
⎜
⎝
⎛
n
∑
i
= 1
f i e
–
K i t
⎟
⎠
⎞
+
C
where
>
Requires the variable metric fitting method.
n
∑
f i
=
1.0
i
= 1
This function has been used to describe the recovery rate of ground-state absorption following photo-excitation of intercalated metal complexes bound to DNA (Arkin, et
al. 1996).
The fit solves for the proportion (amplitude)
f
, the rate constant K, the weight
K0
and the constant
y
-offset
C
for each component
i
. The
f i
terms sum to 1.0.
The fitting method must be variable metric.
pCLAMP 10 User Guide — 1-2500-0180 Rev. A
217
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Table of contents
- 11 New Features
- 12 AxoScope
- 12 MiniDigi 1
- 13 pCLAMP Documentation
- 15 Overview of User Guide
- 16 Utility Programs
- 16 History of pCLAMP
- 17 Definitions
- 20 Data Acquisition Modes
- 21 Terms and Conventions in Electrophysiology
- 25 The Sampling Theorem in Clampfit
- 26 Optimal Data Acquisition
- 28 File Formats
- 31 pCLAMP Quantitative Limits
- 35 Computer System
- 37 Software Setup and Installation
- 38 Digitizer Configuration in Clampex
- 39 MiniDigi Installation
- 40 Resetting Program Defaults
- 40 Printing
- 41 Clampex Windows
- 44 Telegraphs
- 45 Lab Bench
- 46 Overrides
- 46 Handling Data
- 47 Protocol Editor
- 53 Data Acquisition
- 53 Real Time Controls
- 54 Seal and Cell Quality: Membrane Test
- 57 Time, Comment, and Voice Tags
- 58 Junction Potential Calculator
- 58 Calibration Wizard
- 59 Sequencing Keys
- 59 LTP Assistant
- 75 I-V Tutorial
- 87 Membrane Test Tutorial
- 89 Scenarios
- 95 Clampfit Windows
- 100 File Import
- 100 Data Conditioning
- 102 Event Detection
- 104 Single-Channel Analysis in Clampfit
- 114 Fitting and Statistical Analysis
- 115 Creating Figures in the Layout Window
- 117 Creating Quick Graphs
- 122 Preconditioning Noisy Single-Channel Recordings
- 126 Evaluation of Multicomponent Signals: Sensillar Potentials with Superimposed Action Potentials
- 133 Separating Action Potentials by their Shape
- 141 Finite vs. Infinite Impulse Response Filters
- 143 Digital Filter Characteristics
- 144 End Effects
- 144 Bessel Lowpass Filter (8 Pole) Specifications
- 146 Boxcar Smoothing Filter Specifications
- 147 Butterworth Lowpass Filter (8 Pole) Specifications
- 149 Chebyshev Lowpass Filter (8 Pole) Specifications
- 151 Gaussian Lowpass Filter Specifications
- 152 Notch Filter (2 Pole) Specifications
- 153 RC Lowpass Filter (single Pole) Specifications
- 155 RC Lowpass Filter (8 Pole) Specifications
- 157 RC Highpass Filter (Single Pole) Specifications
- 157 Bessel Highpass Filter (8-Pole Analog) Specifications
- 158 The Electrical Interference Filter
- 167 The Fourier Series
- 168 The Fourier Transform
- 169 The Fast Fourier Transform
- 169 The Power Spectrum
- 170 Limitations
- 170 Windowing
- 171 Segment Overlapping
- 171 Transform Length vs. Display Resolution
- 173 Membrane Test
- 177 Template Matching
- 177 Single-Channel Event Amplitudes
- 178 Level Updating in Single-Channel Searches
- 179 Kolmogorov-Smirnov Test
- 180 Normalization Functions
- 182 Variance-Mean (V-M) Analysis
- 184 Burst Analysis
- 185 Peri-event Analysis
- 186 P(open)
- 189 Introduction
- 192 The Levenberg-Marquardt Method
- 194 The Simplex Method
- 196 The Variable Metric Method
- 197 The Chebyshev Transform
- 211 Maximum Likelihood Estimation
- 213 Model Comparison
- 215 Defining a Custom Function
- 216 Multiple-Term Fitting Models
- 216 Minimization Functions
- 217 Weighting
- 219 Normalized Proportions
- 219 Zero-shifting
- 221 Beta Function
- 222 Binomial
- 222 Boltzmann, Charge-Voltage
- 223 Boltzmann, Shifted
- 223 Boltzmann, Standard
- 224 Boltzmann, Z-delta
- 224 Current-Time Course (Hodgkin-Huxley)
- 225 Exponential, Alpha
- 225 Exponential, Cumulative Probability
- 225 Exponential, Log Probability
- 226 Exponential, Power
- 226 Exponential, Probability
- 226 Exponential, Product
- 226 Exponential, Sloping Baseline
- 227 Exponential, Standard
- 227 Exponential, Weighted
- 227 Exponential, Weighted/Constrained
- 228 Gaussian
- 228 Goldman-Hodgkin-Katz
- 228 Goldman-Hodgkin-Katz, Extended
- 229 Hill (4-Parameter Logistic)
- 229 Hill, Langmuir
- 229 Hill, Steady State
- 230 Lineweaver-Burk
- 230 Logistic Growth
- 230 Lorentzian Distribution
- 231 Lorentzian Power 1
- 231 Lorentzian Power 2
- 232 Michaelis-Menten
- 232 Nernst
- 232 Parabola, Standard
- 232 Parabola, Variance-Mean
- 233 Poisson
- 233 Polynomial
- 233 Straight Line, Origin at Zero
- 234 Straight Line, Standard
- 234 Voltage-Dependent Relaxation
- 234 Constants
- 235 Primary Sources
- 238 Further Reading
- 241 Software Problems
- 241 Hardware Problems
- 242 Service and Support
- 243 Programs and Sources