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What is the best way to interpret unexpected results in bioengineering experiments?

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Bioengineering is a multidisciplinary field that applies engineering principles and methods to biological systems and challenges. Bioengineering experiments often involve complex and dynamic interactions between various components, such as cells, molecules, materials, and devices. Sometimes, these experiments may yield unexpected results that do not match the initial hypotheses or assumptions. How can you interpret these results in a meaningful and productive way? Here are some tips to help you.

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Stephanie Willerth

Full Professor of Biomedical Engineering | Entrepreneur | Author | Speaker

1 Check your methods

The first step to interpret unexpected results is to check your methods and procedures for any errors or inconsistencies. Did you follow the protocol correctly? Did you use the right equipment and settings? Did you measure and record the data accurately? Did you perform any quality control or validation tests? If you find any mistakes or deviations in your methods, you may need to repeat the experiment or correct the data accordingly.

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Jo?o Oliveira

Engenheiro Biomédico | Engenheiro Clínico | Gest?o de Tecnologias em Saúde | Engenheiro de Seguran?a do Trabalho
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Ao lidar com resultados inesperados, o primeiro passo crítico é revisar minuciosamente os métodos e procedimentos adotados durante o experimento. Certificar-se de que cada etapa do protocolo foi seguida corretamente é essencial para garantir a validade e confiabilidade dos resultados obtidos. Isso inclui a verifica??o do uso adequado de equipamentos específicos e a confirma??o de que as configura??es foram ajustadas de acordo com as especifica??es necessárias.

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2 Review your literature

The second step is to review your literature and background knowledge on the topic of your experiment. Did you miss any relevant information or previous studies that could explain your results? Did you consider all the possible factors and variables that could affect your outcome? Did you use the appropriate models and frameworks to analyze your data? By comparing your results with the existing literature, you may gain new insights or identify gaps or contradictions that need further investigation.

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Jo?o Oliveira

Engenheiro Biomédico | Engenheiro Clínico | Gest?o de Tecnologias em Saúde | Engenheiro de Seguran?a do Trabalho
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Penso que revisar cuidadosamente a literatura pertinente e seu conhecimento prévio sobre o tema do experimento é um dos passos mais importantes. Essa revis?o busca identificar qualquer informa??o relevante ou estudos anteriores que possam explicar ou contextualizar os resultados obtidos. é fundamental garantir que todas as pe?as do quebra-cabe?a científico estejam consideradas.

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3 Generate new hypotheses

The third step is to generate new hypotheses based on your results and literature review. What are the possible causes or mechanisms behind your findings? How do they relate to your research question or goal? How can you test or verify them? By formulating new hypotheses, you may discover new aspects or dimensions of your problem or solution that you did not anticipate before.

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4 Design new experiments

The fourth step is to design new experiments to test your new hypotheses and validate your results. What are the best methods and techniques to use? What are the expected outcomes and criteria for success? How can you control or eliminate confounding factors or sources of error? By designing new experiments, you may refine your approach or direction and improve your reliability and validity.

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5 Communicate your results

The fifth step is to communicate your results and interpretations to your peers, mentors, or collaborators. How can you present your data and analysis clearly and convincingly? How can you address potential questions or criticisms? How can you acknowledge the limitations or uncertainties of your results? How can you relate your results to the broader context or implications of your field? By communicating your results, you may receive valuable feedback, suggestions, or support for your work.

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Stephanie Willerth

Full Professor of Biomedical Engineering | Entrepreneur | Author | Speaker
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We would talk about unexpected results at group meeting and with collaborators. It helps to understand if it is a true result or possibly due to a bad reagent or other conditions.

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6 Learn from your results

The sixth and final step is to learn from your results and interpretations. What did you achieve or discover from your experiment? What did you fail or struggle with? What did you enjoy or find challenging? What did you learn or improve on? How can you apply or extend your findings to other problems or projects? By learning from your results, you may enhance your skills, knowledge, and creativity as a bioengineer.

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Ken Putt, FCAE, FCSSE, FEC, FEIC, FGC

Independent Director at PTAC
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Redo the experiment (with a different reagent, if one is involved) to determine if the unexpected result is confirmed. Some might recall the landmark announcement that 'cold fusion' had been confirmed. The only problem was no one could replicate the experimental results! The scientist 'heroes' became 'goats' thereafter.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What is the best way to interpret unexpected results in bioengineering experiments?

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1 Check your methods

2 Review your literature

3 Generate new hypotheses

4 Design new experiments

5 Communicate your results

6 Learn from your results

7 Here’s what else to consider

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