@article {69903, title = {Challenges of microscopy technology dissemination to resource-constrained communities.}, journal = {Nat Methods}, year = {2025}, month = {2025 May 06}, abstract = {

No abstract available.

}, issn = {1548-7105}, doi = {10.1038/s41592-025-02690-7}, url = {https://doi.org/10.1038/s41592-025-02690-7}, author = {Aaron, Jesse S and Jacobs, Caron A and Malacrida, Leonel and Keppler, Antje and French, Paul and Fletcher, Daniel A and Wood, Christopher and Brown, Claire M and Wright, Graham D and Ogawa, Satoshi and Maina, Mahmoud and Chew, Teng-Leong} } @article {70198, title = {Redefining colocalization analysis with a novel Phasor Mixing Coefficient.}, journal = {J Cell Sci}, year = {2025}, month = {2025 Nov 24}, abstract = {

The first step to probing any potential interaction between two biomolecules is to determine their spatial association. In other words, if two biomolecules localize similarly within a cell, then it is plausible they could interact. Traditionally, this is quantified through various colocalization metrics. These measures infer this association by estimating the degree to which fluorescent signals from each biomolecule overlap or correlate. However, these metrics are, at best, proxies, and they depend strongly on various experimental choices. Alternatively, here we define a new strategy which leverages multispectral imaging and phasor analysis, termed the Phasor Mixing Coefficient (PMC). PMC measures the precise mixing of fluorescent signals in each pixel. We demonstrate how PMC captures complex biological subtlety by offering two distinct values, a global measure of overall color mixing and the homogeneity thereof. We additionally show that PMC exhibits less sensitivity to signal-to-noise ratio, intensity threshold, and background signal compared to canonical methods. Moreover, this method provides a means to visualize color mixing at each pixel. We show that PMC offers users a nuanced and robust metric to quantify biological association.

}, issn = {1477-9137}, doi = {10.1242/jcs.264388}, author = {Puls, Owen F and Aaron, Jesse S and Quarles, Ellen K and Khuon, Satya and Eisenman, Leanna R and Kamaid, Andres and Malacrida, Leonel and Chew, Teng-Leong} } @article {70203, title = {Redefining colocalization analysis with a novel Phasor Mixing Coefficient.}, journal = {J Cell Sci}, year = {2025}, month = {2025 Nov 24}, abstract = {

The first step to probing any potential interaction between two biomolecules is to determine their spatial association. In other words, if two biomolecules localize similarly within a cell, then it is plausible they could interact. Traditionally, this is quantified through various colocalization metrics. These measures infer this association by estimating the degree to which fluorescent signals from each biomolecule overlap or correlate. However, these metrics are, at best, proxies, and they depend strongly on various experimental choices. Alternatively, here we define a new strategy which leverages multispectral imaging and phasor analysis, termed the Phasor Mixing Coefficient (PMC). PMC measures the precise mixing of fluorescent signals in each pixel. We demonstrate how PMC captures complex biological subtlety by offering two distinct values, a global measure of overall color mixing and the homogeneity thereof. We additionally show that PMC exhibits less sensitivity to signal-to-noise ratio, intensity threshold, and background signal compared to canonical methods. Moreover, this method provides a means to visualize color mixing at each pixel. We show that PMC offers users a nuanced and robust metric to quantify biological association.

}, issn = {1477-9137}, doi = {10.1242/jcs.264388}, url = {https://doi.org/10.1242/jcs.264388}, author = {Puls, Owen F and Aaron, Jesse S and Quarles, Ellen K and Khuon, Satya and Eisenman, Leanna R and Kamaid, Andres and Malacrida, Leonel and Chew, Teng-Leong} } @article {69445, title = {Building momentum through networks: Bioimaging across the Americas}, journal = {Journal of Microscopy}, volume = {n/a}, year = {2024}, month = {2024 May 15}, abstract = {

In September 2023, the two largest bioimaging networks in the Americas, Latin America Bioimaging (LABI) and BioImaging North America (BINA), came together during a 1-week meeting in Mexico. This meeting provided opportunities for participants to interact closely with decision-makers from imaging core facilities across the Americas. The meeting was held in a hybrid format and attended in-person by imaging scientists from across the Americas, including Canada, the United States, Mexico, Colombia, Peru, Argentina, Chile, Brazil and Uruguay. The aims of the meeting were to discuss progress achieved over the past year, to foster networking and collaborative efforts among members of both communities, to bring together key members of the international imaging community to promote the exchange of experience and expertise, to engage with industry partners, and to establish future directions within each individual network, as well as common goals. This meeting report summarises the discussions exchanged, the achievements shared, and the goals set during the LABIxBINA2023: Bioimaging across the Americas meeting.

}, keywords = {bioimaging networks, BioImaging North America, community-building, imaging scientists, Latin America Bioimaging}, doi = {https://doi.org/10.1111/jmi.13318}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/jmi.13318}, author = {De Niz, Mariana and Escobedo Garc{\'\i}a, Rodrigo and Ter{\'a}n Ramirez, Celina and Pakowski, Ysa and Abonza, Yuriney and Bialy, Nikki and Orr, Vanessa L. and Olivera, Andres and Abonza, Victor and Alleva, Karina and Allodi, Silvana and Almeida, Michael F. and Becerril Cuevas, Alexis Ricardo and Bonnet, Frederic and Burgos Solorio, Armando and Chew, Teng-Leong and Chiabrando, Gustavo and Cimini, Beth and Cleret-Buhot, Aur{\'e}lie and Contreras Jim{\'e}nez, Gast{\'o}n and Daza, Laura and De S{\'a}, Vanessa and De Val, Natalia and Delgado-{\'A}lvarez, Diego L. and Eliceiri, Kevin and Fiolka, Reto and Grecco, Hernan and Hanein, Dorit and Hern{\'a}ndez Herrera, Pa{\'u}l and Hockberger, Phil and Hernandez, Haydee O. and Hernandez Guadarrama, Yael and Itano, Michelle and Jacobs, Caron A. and Jim{\'e}nez-Garc{\'\i}a, Luis F. and Jim{\'e}nez Sabinina, Vilma and Kamaid, Andres and Keppler, Antje and Kumar, Abhishek and Lacoste, Judith and Lovy, Alenka and Luby-Phelps, Kate and Mahadevan-Jansen, Anita and Malacrida, Leonel and Mehta, Shalin B. and Miller, Caroline and Miranda, Kildare and Moore, Joshua A. and North, Alison and O{\textquoteright}Toole, Peter and Olivares Urbano, Mariana and Pietrasanta, L{\'\i}a I. and Portugal, Rodrigo V. and Rossi, Andr{\'e}s H. and Sanchez Contreras, Jonathan and Strambio-De-Castilla, Caterina and Soldevila, Gloria and Vale, Bruno and Vazquez, Diana and Wood, Chris and Brown, Claire M. and Guerrero, Adan} }