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Fig. 3. Regression (A) and residual (B, C, D) analysis of HPLC TChla concentrations (blue), TChla concentrations modeled from the Shimadzu 2401-PC aph(λ) (black), and modeled TChla concentrations derived from the Perkin-Elmer <t>Lambda</t> <t>2</t> aph(λ) (red) against fluorometric chlorophyll a concentrations (CHL). Blue and black lines in the scatterplot are 95% prediction intervals for the HPLC and Shimadzu TChla regressions, respectively. All residuals are log-transformed. 10-2 µg L-1 was added to all values to prevent undefined values in the log-transformed data.
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Fig. 3. Regression (A) and residual (B, C, D) analysis of HPLC TChla concentrations (blue), TChla concentrations modeled from the Shimadzu 2401-PC aph(λ) (black), and modeled TChla concentrations derived from the Perkin-Elmer <t>Lambda</t> <t>2</t> aph(λ) (red) against fluorometric chlorophyll a concentrations (CHL). Blue and black lines in the scatterplot are 95% prediction intervals for the HPLC and Shimadzu TChla regressions, respectively. All residuals are log-transformed. 10-2 µg L-1 was added to all values to prevent undefined values in the log-transformed data.
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Revvity lambda 2 uv vis spectrometer
Fig. 3. Regression (A) and residual (B, C, D) analysis of HPLC TChla concentrations (blue), TChla concentrations modeled from the Shimadzu 2401-PC aph(λ) (black), and modeled TChla concentrations derived from the Perkin-Elmer <t>Lambda</t> <t>2</t> aph(λ) (red) against fluorometric chlorophyll a concentrations (CHL). Blue and black lines in the scatterplot are 95% prediction intervals for the HPLC and Shimadzu TChla regressions, respectively. All residuals are log-transformed. 10-2 µg L-1 was added to all values to prevent undefined values in the log-transformed data.
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Fig. 3. Regression (A) and residual (B, C, D) analysis of HPLC TChla concentrations (blue), TChla concentrations modeled from the Shimadzu 2401-PC aph(λ) (black), and modeled TChla concentrations derived from the Perkin-Elmer Lambda 2 aph(λ) (red) against fluorometric chlorophyll a concentrations (CHL). Blue and black lines in the scatterplot are 95% prediction intervals for the HPLC and Shimadzu TChla regressions, respectively. All residuals are log-transformed. 10-2 µg L-1 was added to all values to prevent undefined values in the log-transformed data.

Journal: Progress in Oceanography

Article Title: Diagnosing seasonal to multi-decadal phytoplankton group dynamics in a highly productive coastal ecosystem

doi: 10.1016/j.pocean.2021.102637

Figure Lengend Snippet: Fig. 3. Regression (A) and residual (B, C, D) analysis of HPLC TChla concentrations (blue), TChla concentrations modeled from the Shimadzu 2401-PC aph(λ) (black), and modeled TChla concentrations derived from the Perkin-Elmer Lambda 2 aph(λ) (red) against fluorometric chlorophyll a concentrations (CHL). Blue and black lines in the scatterplot are 95% prediction intervals for the HPLC and Shimadzu TChla regressions, respectively. All residuals are log-transformed. 10-2 µg L-1 was added to all values to prevent undefined values in the log-transformed data.

Article Snippet: These samples were filtered immediately using GF/Fs and stored in liquid nitrogen until analysis. ap(λ) was measured using the transmittance mode of the quantitative filter technique (Mitchell, 1990; Roesler et al., 2018) on a Perkin-Elmer Lambda 2 spectrophotometer equipped with a Labsphere RSA-PE-20 integrating sphere prior to April 2003, and on a Shimadzu 2401-PC spectrophotometer equipped with an ISR-2200 integrating sphere from April 2003 to the present.

Techniques: Derivative Assay, Transformation Assay