TY - JOUR
T1 - IFDOTMETER
T2 - A New Software Application for Automated Immunofluorescence Analysis
AU - Rodriguez-Arribas, Mario
AU - Pizarro-Estrella, Elisa
AU - Gómez-Sánchez, Rubén
AU - Yakhine-Diop, S. M. S.
AU - Gragera-Hidalgo, Antonio
AU - Cristo, Alejandro
AU - Bravo-San Pedro, Jose M.
AU - Gonzalez-Polo, Rosa A.
AU - Fuentes, Jose M.
N1 - © 2015 Society for Laboratory Automation and Screening.
PY - 2016/4
Y1 - 2016/4
N2 - Most laboratories interested in autophagy use different imaging software for managing and analyzing heterogeneous parameters in immunofluorescence experiments (e.g., LC3-puncta quantification and determination of the number and size of lysosomes). One solution would be software that works on a user's laptop or workstation that can access all image settings and provide quick and easy-to-use analysis of data. Thus, we have designed and implemented an application called IFDOTMETER, which can run on all major operating systems because it has been programmed using JAVA (Sun Microsystems). Briefly, IFDOTMETER software has been created to quantify a variety of biological hallmarks, including mitochondrial morphology and nuclear condensation. The program interface is intuitive and user-friendly, making it useful for users not familiar with computer handling. By setting previously defined parameters, the software can automatically analyze a large number of images without the supervision of the researcher. Once analysis is complete, the results are stored in a spreadsheet. Using software for high-throughput cell image analysis offers researchers the possibility of performing comprehensive and precise analysis of a high number of images in an automated manner, making this routine task easier.
AB - Most laboratories interested in autophagy use different imaging software for managing and analyzing heterogeneous parameters in immunofluorescence experiments (e.g., LC3-puncta quantification and determination of the number and size of lysosomes). One solution would be software that works on a user's laptop or workstation that can access all image settings and provide quick and easy-to-use analysis of data. Thus, we have designed and implemented an application called IFDOTMETER, which can run on all major operating systems because it has been programmed using JAVA (Sun Microsystems). Briefly, IFDOTMETER software has been created to quantify a variety of biological hallmarks, including mitochondrial morphology and nuclear condensation. The program interface is intuitive and user-friendly, making it useful for users not familiar with computer handling. By setting previously defined parameters, the software can automatically analyze a large number of images without the supervision of the researcher. Once analysis is complete, the results are stored in a spreadsheet. Using software for high-throughput cell image analysis offers researchers the possibility of performing comprehensive and precise analysis of a high number of images in an automated manner, making this routine task easier.
KW - autophagy
KW - software
KW - IFDOTMETER
KW - immunofluorescence
KW - cell image analysis
KW - MONITORING AUTOPHAGY
KW - HIGHER EUKARYOTES
KW - DEGRADATION
KW - GUIDELINES
KW - ASSAYS
KW - P62/SQSTM1
KW - YEAST
U2 - 10.1177/2211068215600650
DO - 10.1177/2211068215600650
M3 - Article
C2 - 26303944
SN - 2211-0682
VL - 21
SP - 246
EP - 259
JO - Journal of Laboratory Automation
JF - Journal of Laboratory Automation
IS - 2
ER -